SlideShare una empresa de Scribd logo
1 de 1
Descargar para leer sin conexión
Acquiring Practical Population Estimates of Neurons Through Design-Based Stereology: Dissecting the Disector 
ABSTRACT 
A design-based stereological probe known as the optical disector is employed frequently to acquire unbiased neuronal population estimates from thick histologic sections. This methodology includes customizable parameters for systematic sampling through the X, Y, and Z axes of the region of interest (ROI). For the purpose of this study, cryosections of 40 μm nominal thickness were immunostained for tyrosine hydroxylase (TH) to detect dopaminergic neurons in the substantia nigra pars compacta (SNpc) of C57BL/6J mice. Stereological estimates of TH+ neuron populations were acquired using the Optical Fractionator Workflow module of the Stereo Investigator software system (MBF Bioscience). Because the histologic processing and immunostaining of thick sections may result in non-uniform distribution and density of TH+ neurons throughout the Z axis of the SNpc, various disector heights and placements were analyzed systematically to determine the degree to which disector height selection contributed substantially to the total population estimates. We concluded that the choice of disector height had a major influence on total population estimates of TH+ neurons in the SNpc. For studies that utilize the optical disector method to quantify neuronal population estimates, adequate preliminary sampling should be performed initially through the entire Z axis with extrapolation of the data in order to achieve accurate population estimates. 
Daniel Zadory, Ellen Burton, Jeffrey Wolf. Experimental Pathology Laboratories, Inc. 
OBJECTIVE 
Evaluate the optical disector component of the design-based stereological probe, the optical fractionator, through various disector heights and placements to determine their impact on stereologically-derived TH+ neuron estimates in the SNpc of C57BL/6J mice. 
RESULTS 
CONCLUSIONS 
Optimally, stereological estimates obtained using the optical fractionator approach should be based on tissue sections in which the distribution of objects (e.g., neurons) is uniform throughout the Z-depth. However, obtaining thick sections with entirely uniform cell distributions can be technically challenging. The impact of disector height and placement on total population estimates in thick histologic sections can be established by sampling through the entire Z-depth. For the biphasic distribution pattern that we typically encounter, the most consistent and most accurate results were obtained when disectors were placed so as to encompass symmetrical portions of the z-depth distribution curve. A recently released Stereo Investigator module called Resample Disector allows for similar preliminary analysis of sampling parameters through the Z- depth. 
RESULTS 
REFERENCES 
•West M.J., Slomianka L., Gundersen H.J., (1991); Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator. Anat Rec; 231:482. 
•Baquet Z.C., Williams D., Brody J., Smeyne R.J., (2009); A comparison of model-based (2D) and design-based (3D) stereological methods for estimating cell number in the substantia nigra pars compacta (SNpc) of the C57BL/6J mouse. Neuroscience; 161(4):1082-90. doi: 10.1016/j.neuroscience.2009.04.031. 
•Torres E.M., Meldrum A., Kirik D., Dunnett S., (2006); An investigation of the problem of two-layered Immunohistochemical staining in paraformaldehyde fixed sections. Journal of Neuroscience Methods; 158, 66-74 
•Carlo C.N., Stevens C.F., (2011); Analysis of differential shrinkage in frozen brain sections and its implications for the use of guard zones in stereology. Journal of Comparative Neurology; 519:2803-2810 
•Gardella D., Hatton W.J., Rind H.B., Rosen G.D., von Bartheld C.S., (2003); Differential tissue shrinkage and compression in the z-axis: implications for optical disector counting in vibratome-, plastic- and cryosections. Journal of Neuroscience Methods; 124, 45-59 
INTRODUCTION 
The purpose of design-based stereology is to efficiently obtain precise and unbiased morphometric estimates of specific features in whole organs or anatomical structures by subsampling thru three-dimensional (3D) axes of the target region. Earlier two-dimensional (2D) model-based stereological methods relied on parameters ascertained through qualitative assumptions of volume, size, density, orientation, and shape that introduced varying degrees of bias. While both design- based and model-based stereological methods have strengths and weaknesses, it is imperative that these limitations are understood by researchers, so that reproducible, accurate, and unbiased estimates can be generated, and results from different laboratories can be reasonably compared (Baquet et al., 2009). 
A widely used design-based stereology probe, the optical fractionator, is employed frequently to quantify neurons in thick histologic sections as a measure of pharmacological efficacy or neurotoxicity. Through unbiased systematic uniform random sampling in a 3D space, this approach combines two elements of previously established stereological probes, the Optical Disector and Fractionator (West et al., 1991). Population estimates are derived through the following formula: 
METHODS 
•Specimen Collection and Processing 
Twenty male C57BL/6J mice of approximately 11-12 weeks old were anesthetized by intraperitoneal injection of sodium pentobarbital and transcardially perfused with physiological saline followed by 4% paraformaldehyde (PFA). The intact brains were removed and post-fixed in 4% PFA overnight at 4⁰ C, followed by separate immersion fixations of 10% and 30% sucrose solution at 4⁰ C for 24 hours and 48 hours, respectively, to initiate cryoprotection. Following cryoprotection, the brains were flash frozen for approximately 35 seconds in isopentane chilled to -40⁰ C. 
METHODS 
•Immunohistochemical Detection of TH+ Neurons in the SNpc 
Each brain was microtomed serially in the coronal plane (i.e., transversely along the rostral-caudal axis) at 40 μm intervals using a sliding microtome and systematically transferred into a 24-well plate containing 30% ethylene glycol solution and stored at - 20⁰ C. A section interval of 1:3 was identified and briefly washed in 0.1 M phosphate buffered saline (PBS) followed by a 10 minute incubation in 3% H2O2 in PBS to quench endogenous peroxidase activity. Non-specific binding of antibodies to targets was blocked by immersion of the sections in a solution of 10% normal goat serum and 1% bovine serum albumin, made up in PBS for one hour at room temperature. Immunostaining was performed according to the standard avidin-biotin complex (ABC) method. Sections were then incubated in a solution containing the primary Rabbit Polyclonal Anti-Tyrosine Hydroxylase (EMD Millipore, Billerica, MA) antibody at a dilution of 1:4000 for 48 hours at 4⁰C, and then in the secondary antibody, biotinylated goat anti-rabbit IgG (Vector Laboratories, Inc.), at a dilution of 1:6000 and incubated for another 2 hours at room temperature. The brain sections were then incubated for 60 minutes in an ABC solution (Standard VectaStain Elite Kit, Vector Laboratories, Inc.) at room temperature. Visualization of the reaction was accomplished by immersion in 0.03% 3,3-diaminobenzidine (DAB, Sigma Fast Tablets, Sigma-Aldrich) for 1 minute at room temperature. Sections were then floated onto positively charged glass slides and air-dried for approximately 1 hour at room temperature. Following a succession of rinses with ethanol (100%, 95%, and 70%, respectively) and distilled water, sections were then counterstained FD Cresyl Violet Solution and cover slipped using a resinous mounting medium. 
•Design-Based Stereology 
The total numbers of TH+ neurons in the SNpc were estimated using the optical fractionator approach (West et. al, 1991) through the entire Z depth. Accordingly, neuron cell bodies were counted in a subsample of sections, section thicknesses, and section areas, and then the results were extrapolated to provide estimates of total number of TH+ neurons. Contours (virtual outlines) of the SNpc were drawn in Stereo Investigator (MBF, Williston, VT) for each transverse histologic brain section. The SNpc region is a dense region of neuron soma which regresses along the pars reticulata (SNr). Areas not included in the tracings were the SNr, pars laterials, ventral tegmental area, and immunoreactive fiber projections from the pars compacta. Sampling parameters for stereological cell counting were established in the Optical Fractionator Workflow module as follows: 
•Data Analysis 
Neuronal cell counts were exported to individual Excel spreadsheet files and neuronal populations through the Z-depth layers were assessed to determine the uniformity of distribution. As anticipated, neuronal cell densities of were consistently non-uniform throughout the Z-depth; however, the relative pattern of distribution was fairly symmetrical from the Z-depth midline to the top and bottom surfaces of the tissue sections. To further understand the quantitative impact this biphasic distribution has on total population estimates, we then superimposed disectors at various depths and calculated estimates of TH+ neuron numbers using the optical fractionator formula. 
Nobj = 1/ssf × 1/asf × 1/tsf × ΣQ 
Nobj = number of objects 
ssf (section sampling fraction) = the number of SNpc sections evaluated / total number of SNpc sections microtomed 
asf (area sampling fraction) = counting frame size (microns) / counting frame interval (microns) 
tsf (thickness sampling fraction) = disector height (microns) / mean measured section thickness (microns) 
ΣQ = the number of cells counted 
Counting Frame Area (XY) (μm²) 
36,00 
Disector Height (Z) (μm) 1 
19.0 
Disector Volume (XYZ) (μm³) 
68,400 
Guard Zone Distance (μm) 
0.0 
Sampling Grid Area (XY) (μm²) 
14,400 
Section Evaluation Interval 
3 
Mean Estimates of TH+ Neurons Produced by the Optical Fractionator Probe (N = 20) 
Total Markers 
Number of Sections 
Number of Sampling Sites 
Measured Defined Mounted Thickness 
Estimated Population by Mean Section Thickness 
C.E. Values (m=1) 
680 
(± 133.79) 
13 
(± 1.10) 
385 
(± 26.64) 
15.93 
(± 0.99) 
6,859 
(± 1,476) 
0.05 
(± 0.01) 
0 
20 
40 
60 
80 
100 
120 
0 
-1 
-2 
-3 
-4 
-5 
-6 
-7 
-8 
-9 
-10 
-11 
-12 
-13 
-14 
-15 
-16 
-17 
-18 
No. of TH+ Neurons 
Z Depth from top of Section (-1.00μm) 
Mean Z-Depth Distribution of 
TH+ Neurons 
7,795 
14,229 
2,680 
7,628 
9,178 
8,953 
8,729 
8,716 
0 
2,000 
4,000 
6,000 
8,000 
10,000 
12,000 
14,000 
16,000 
Disector 
0-13 
microns 
Disector 
2-5 
microns 
Disector 
6-11 
microns 
Disector 
4-13 
microns 
Disector 
2-8 
microns 
Disector 
2-15 
microns 
Disector 
9-15 
microns 
Baquet 
et al., 
2009 
Estimate No. of TH+ Neurons 
Dissecting the Disector: Optical Fractionator Estimates of Total TH+ Neurons Relative to Disector Placement 
This distribution illustrates the non-uniform density of TH+ neurons as counted throughout the Z-depth. Note the symmetry of the biphasic pattern. 
Potential reasons for this biphasic distribution as described frequently in the literature include problems of antibody/stain penetration, differential tissue shrinkage, and differential tissue compression (Gardella et al., 2003), (Torres et al., 2006), (Carlo et al., 2011). 
To further understand the underlying cause of this non-uniform TH+ distribution along the Z-depth, we examined a representative tissue section from a unique perspective. 
A coronal 40 μm free-floating brain section containing the SNpc was immunostained as previously described, minus the cresyl violet counterstain. The immunostained section was then rotated perpendicularly and embedded on edge in optimal cutting temperature compound (O.C.T., Sakura Finetek). Cryosections were obtained transversely (i.e, sagittal plane) at 10 μm intervals through the region of the SNpc and counterstained in FD Cresyl Violet as previously described. 
•(A) Stereo Investigator 20X Virtual Slice image of immunoreactivity through the sagittal plane (Z-Depth) of a 40 μm coronal section. 
•(B) 100X image of the SNpc. The pattern of immunoreactivity correlates with the counted mean Z-depth distribution of TH+ neurons. Non-immunoreactive cells (cresyl violet) were observed infrequently in the middle portion of the z-depth. 
•(C) Region distal to the SNpc. Immunoreactive neuronal processes are clearly visible throughout the Z-depth. Non-immunoreactive cells were distributed evenly throughout. 
A 
B 
C 
Disectors of varying heights were superimposed at different sampling depths within the extrapolated mean Z-depth distributions. To determine total population estimates relative to each disector placement, estimates of TH+ neuron numbers were calculated using the optical fractionator formula. 
Disectors that encompassed symmetrical portions of the bisphasic curve produced numbers that were comparable to previous estimates of TH+ neurons in C57BL/6J mice: 8716 ±338 (range = 7546-9869, N = 10) (Baquet et al., 2009) 
RESULTS

Más contenido relacionado

La actualidad más candente

automatic detection of pulmonary nodules in lung ct images
automatic detection of pulmonary nodules in lung ct imagesautomatic detection of pulmonary nodules in lung ct images
automatic detection of pulmonary nodules in lung ct images
Wookjin Choi
 
Proton Computed Tomography.pptx
Proton Computed Tomography.pptxProton Computed Tomography.pptx
Proton Computed Tomography.pptx
Nicole Hoffmann
 
Segmentation techniques for extraction and description of tumour region from ...
Segmentation techniques for extraction and description of tumour region from ...Segmentation techniques for extraction and description of tumour region from ...
Segmentation techniques for extraction and description of tumour region from ...
Swarada Kanap
 

La actualidad más candente (20)

Ct image quality artifacts and it remedy
Ct image quality artifacts and it remedyCt image quality artifacts and it remedy
Ct image quality artifacts and it remedy
 
Automated brain tumor detection and segmentation from mri images using adapti...
Automated brain tumor detection and segmentation from mri images using adapti...Automated brain tumor detection and segmentation from mri images using adapti...
Automated brain tumor detection and segmentation from mri images using adapti...
 
automatic detection of pulmonary nodules in lung ct images
automatic detection of pulmonary nodules in lung ct imagesautomatic detection of pulmonary nodules in lung ct images
automatic detection of pulmonary nodules in lung ct images
 
Back projection geometry in cbct
Back projection geometry in cbctBack projection geometry in cbct
Back projection geometry in cbct
 
Proton Computed Tomography.pptx
Proton Computed Tomography.pptxProton Computed Tomography.pptx
Proton Computed Tomography.pptx
 
Co60 vs Ir192
Co60 vs Ir192Co60 vs Ir192
Co60 vs Ir192
 
Image Quality, Artifacts and it's Remedies in CT-Avinesh Shrestha
Image Quality, Artifacts and it's Remedies in CT-Avinesh ShresthaImage Quality, Artifacts and it's Remedies in CT-Avinesh Shrestha
Image Quality, Artifacts and it's Remedies in CT-Avinesh Shrestha
 
ID 16.15
ID 16.15ID 16.15
ID 16.15
 
Principles of mdct
Principles of mdctPrinciples of mdct
Principles of mdct
 
Image registraiton in Radiation Therapy
Image registraiton in Radiation TherapyImage registraiton in Radiation Therapy
Image registraiton in Radiation Therapy
 
Fuzzy based hyperspectral image
Fuzzy based hyperspectral imageFuzzy based hyperspectral image
Fuzzy based hyperspectral image
 
Image registration and data fusion techniques.pptx latest save
Image registration and data fusion techniques.pptx latest saveImage registration and data fusion techniques.pptx latest save
Image registration and data fusion techniques.pptx latest save
 
Computed tomography - Physics and Clinical
Computed tomography - Physics and ClinicalComputed tomography - Physics and Clinical
Computed tomography - Physics and Clinical
 
CT Image reconstruction
CT Image reconstructionCT Image reconstruction
CT Image reconstruction
 
Lec13: Clustering Based Medical Image Segmentation Methods
Lec13: Clustering Based Medical Image Segmentation MethodsLec13: Clustering Based Medical Image Segmentation Methods
Lec13: Clustering Based Medical Image Segmentation Methods
 
Cone beam computed tomography (2)
Cone beam computed tomography (2)Cone beam computed tomography (2)
Cone beam computed tomography (2)
 
Specialized radiographic technique Prof naglaa shawki el kilani
Specialized radiographic  technique Prof naglaa shawki el kilani   Specialized radiographic  technique Prof naglaa shawki el kilani
Specialized radiographic technique Prof naglaa shawki el kilani
 
Segmentation techniques for extraction and description of tumour region from ...
Segmentation techniques for extraction and description of tumour region from ...Segmentation techniques for extraction and description of tumour region from ...
Segmentation techniques for extraction and description of tumour region from ...
 
Microscopy introduction
Microscopy introductionMicroscopy introduction
Microscopy introduction
 
Computed tomography by jay&jay
Computed tomography by jay&jayComputed tomography by jay&jay
Computed tomography by jay&jay
 

Similar a Acquiring Practical Population Estimates of Neurons Through Design-Based Stereology: Dissecting the Disector

Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...
Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...
Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...
Michael DeBrota
 
UW Undergrad Research Poster 2015 ATW
UW Undergrad Research Poster 2015 ATWUW Undergrad Research Poster 2015 ATW
UW Undergrad Research Poster 2015 ATW
Alexander Wickstrom
 
Darine mottin 2007_6442-57_spie bios
Darine mottin  2007_6442-57_spie biosDarine mottin  2007_6442-57_spie bios
Darine mottin 2007_6442-57_spie bios
Stéphane MOTTIN
 
Poster Leroy Abrahams final 08-03-2010
Poster Leroy Abrahams final 08-03-2010Poster Leroy Abrahams final 08-03-2010
Poster Leroy Abrahams final 08-03-2010
Leroy Abrahams
 
Poster_Elena_Tavkin
Poster_Elena_TavkinPoster_Elena_Tavkin
Poster_Elena_Tavkin
Elena Tavkin
 
Poster - determining the effects of tau on synaptic density in a mouse model ...
Poster - determining the effects of tau on synaptic density in a mouse model ...Poster - determining the effects of tau on synaptic density in a mouse model ...
Poster - determining the effects of tau on synaptic density in a mouse model ...
Shaun Croft, MScR
 
Koutsiaris 2013_b_ΜRI BLADE_Lumbar Spine
Koutsiaris 2013_b_ΜRI BLADE_Lumbar SpineKoutsiaris 2013_b_ΜRI BLADE_Lumbar Spine
Koutsiaris 2013_b_ΜRI BLADE_Lumbar Spine
Koutsiaris Aris
 
Poster-BMES2016_Longtu_v2_for web (1)
Poster-BMES2016_Longtu_v2_for web (1)Poster-BMES2016_Longtu_v2_for web (1)
Poster-BMES2016_Longtu_v2_for web (1)
chris kneeshaw
 
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
CSCJournals
 
Undergraduate Research-final
Undergraduate Research-finalUndergraduate Research-final
Undergraduate Research-final
Christian Hissom
 

Similar a Acquiring Practical Population Estimates of Neurons Through Design-Based Stereology: Dissecting the Disector (20)

uantitative Morphometric Analysis of Immunochemistry Images of the Spinal Dor...
uantitative Morphometric Analysis of Immunochemistry Images of the Spinal Dor...uantitative Morphometric Analysis of Immunochemistry Images of the Spinal Dor...
uantitative Morphometric Analysis of Immunochemistry Images of the Spinal Dor...
 
Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...
Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...
Michael DeBrota et al. - Assessment of Computational Histopathology in Thorac...
 
NIRS-BASED CORTICAL ACTIVATION ANALYSIS BY TEMPORAL CROSS CORRELATION
NIRS-BASED CORTICAL ACTIVATION ANALYSIS BY TEMPORAL CROSS CORRELATIONNIRS-BASED CORTICAL ACTIVATION ANALYSIS BY TEMPORAL CROSS CORRELATION
NIRS-BASED CORTICAL ACTIVATION ANALYSIS BY TEMPORAL CROSS CORRELATION
 
UW Undergrad Research Poster 2015 ATW
UW Undergrad Research Poster 2015 ATWUW Undergrad Research Poster 2015 ATW
UW Undergrad Research Poster 2015 ATW
 
Neuroimaging by dr k k sharma
Neuroimaging by dr k k sharmaNeuroimaging by dr k k sharma
Neuroimaging by dr k k sharma
 
3D Reconstruction of Peripheral Nerves Based on Calcium Chloride Enhanced Mic...
3D Reconstruction of Peripheral Nerves Based on Calcium Chloride Enhanced Mic...3D Reconstruction of Peripheral Nerves Based on Calcium Chloride Enhanced Mic...
3D Reconstruction of Peripheral Nerves Based on Calcium Chloride Enhanced Mic...
 
Texture-Based Computational Models of Tissue in Biomedical Images: Initial Ex...
Texture-Based Computational Models of Tissue in Biomedical Images: Initial Ex...Texture-Based Computational Models of Tissue in Biomedical Images: Initial Ex...
Texture-Based Computational Models of Tissue in Biomedical Images: Initial Ex...
 
Darine mottin 2007_6442-57_spie bios
Darine mottin  2007_6442-57_spie biosDarine mottin  2007_6442-57_spie bios
Darine mottin 2007_6442-57_spie bios
 
Poster Leroy Abrahams final 08-03-2010
Poster Leroy Abrahams final 08-03-2010Poster Leroy Abrahams final 08-03-2010
Poster Leroy Abrahams final 08-03-2010
 
Whole brain optical imaging
Whole brain optical imagingWhole brain optical imaging
Whole brain optical imaging
 
DevFest19 - Early Diagnosis of Chronic Diseases by Smartphone AI
DevFest19 -  Early Diagnosis of Chronic Diseases by Smartphone AIDevFest19 -  Early Diagnosis of Chronic Diseases by Smartphone AI
DevFest19 - Early Diagnosis of Chronic Diseases by Smartphone AI
 
Poster_Elena_Tavkin
Poster_Elena_TavkinPoster_Elena_Tavkin
Poster_Elena_Tavkin
 
Poster - determining the effects of tau on synaptic density in a mouse model ...
Poster - determining the effects of tau on synaptic density in a mouse model ...Poster - determining the effects of tau on synaptic density in a mouse model ...
Poster - determining the effects of tau on synaptic density in a mouse model ...
 
Label-free live brain imaging and targeted patching with third-harmonic gener...
Label-free live brain imaging and targeted patching with third-harmonic gener...Label-free live brain imaging and targeted patching with third-harmonic gener...
Label-free live brain imaging and targeted patching with third-harmonic gener...
 
Koutsiaris 2013_b_ΜRI BLADE_Lumbar Spine
Koutsiaris 2013_b_ΜRI BLADE_Lumbar SpineKoutsiaris 2013_b_ΜRI BLADE_Lumbar Spine
Koutsiaris 2013_b_ΜRI BLADE_Lumbar Spine
 
Poster-BMES2016_Longtu_v2_for web (1)
Poster-BMES2016_Longtu_v2_for web (1)Poster-BMES2016_Longtu_v2_for web (1)
Poster-BMES2016_Longtu_v2_for web (1)
 
Project1-Final Presentation
Project1-Final PresentationProject1-Final Presentation
Project1-Final Presentation
 
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
 
Undergraduate Research-final
Undergraduate Research-finalUndergraduate Research-final
Undergraduate Research-final
 
Cross correlation analysis of
Cross correlation analysis ofCross correlation analysis of
Cross correlation analysis of
 

Más de EPL, Inc.

EPL, Inc - Pathology Peer Review
EPL, Inc - Pathology Peer Review EPL, Inc - Pathology Peer Review
EPL, Inc - Pathology Peer Review
EPL, Inc.
 

Más de EPL, Inc. (15)

Drug-Induced Vascular Injury - Impact on Drug Development: Industry Perspective
Drug-Induced Vascular Injury - Impact on Drug Development: Industry PerspectiveDrug-Induced Vascular Injury - Impact on Drug Development: Industry Perspective
Drug-Induced Vascular Injury - Impact on Drug Development: Industry Perspective
 
The Route of Exposure Influences Nasal Lesion Distribution in Rats in NTP Stu...
The Route of Exposure Influences Nasal Lesion Distribution in Rats in NTP Stu...The Route of Exposure Influences Nasal Lesion Distribution in Rats in NTP Stu...
The Route of Exposure Influences Nasal Lesion Distribution in Rats in NTP Stu...
 
Thymomas in Fischer 344N Rats in The National Toxicology Program Database
Thymomas in Fischer 344N Rats in The National Toxicology Program DatabaseThymomas in Fischer 344N Rats in The National Toxicology Program Database
Thymomas in Fischer 344N Rats in The National Toxicology Program Database
 
Epididymal Histiocytic Sarcomas Identified in B6C3F1 Mouse Carcenogenicity St...
Epididymal Histiocytic Sarcomas Identified in B6C3F1 Mouse Carcenogenicity St...Epididymal Histiocytic Sarcomas Identified in B6C3F1 Mouse Carcenogenicity St...
Epididymal Histiocytic Sarcomas Identified in B6C3F1 Mouse Carcenogenicity St...
 
Right Ventricular Cardiomyopathy in the Rat - Is There an Association with Ga...
Right Ventricular Cardiomyopathy in the Rat - Is There an Association with Ga...Right Ventricular Cardiomyopathy in the Rat - Is There an Association with Ga...
Right Ventricular Cardiomyopathy in the Rat - Is There an Association with Ga...
 
Dietary Administration of Diquat for 13 Weeks Does Not Result in a Loss of Do...
Dietary Administration of Diquat for 13 Weeks Does Not Result in a Loss of Do...Dietary Administration of Diquat for 13 Weeks Does Not Result in a Loss of Do...
Dietary Administration of Diquat for 13 Weeks Does Not Result in a Loss of Do...
 
Twice-Weekly Administration of Paraquat for 3 Weeks Does Not Result in a Loss...
Twice-Weekly Administration of Paraquat for 3 Weeks Does Not Result in a Loss...Twice-Weekly Administration of Paraquat for 3 Weeks Does Not Result in a Loss...
Twice-Weekly Administration of Paraquat for 3 Weeks Does Not Result in a Loss...
 
Renal Tubular Pigmentation Associated with Senna-Related Metabolites
Renal Tubular Pigmentation Associated with Senna-Related MetabolitesRenal Tubular Pigmentation Associated with Senna-Related Metabolites
Renal Tubular Pigmentation Associated with Senna-Related Metabolites
 
MicroRNA Profiling of Hepatocellular Carcinomas in B6C3F1 Mice Treated with G...
MicroRNA Profiling of Hepatocellular Carcinomas in B6C3F1 Mice Treated with G...MicroRNA Profiling of Hepatocellular Carcinomas in B6C3F1 Mice Treated with G...
MicroRNA Profiling of Hepatocellular Carcinomas in B6C3F1 Mice Treated with G...
 
The National Toxicology Program Nonneoplastic Lesion Atlas
The National Toxicology Program Nonneoplastic Lesion AtlasThe National Toxicology Program Nonneoplastic Lesion Atlas
The National Toxicology Program Nonneoplastic Lesion Atlas
 
Subchronic Inhalation Exposure of Rats to Libby Amphibole and Amosite Asbesto...
Subchronic Inhalation Exposure of Rats to Libby Amphibole and Amosite Asbesto...Subchronic Inhalation Exposure of Rats to Libby Amphibole and Amosite Asbesto...
Subchronic Inhalation Exposure of Rats to Libby Amphibole and Amosite Asbesto...
 
Immunohistochemical Characterization of ENU-induced Brain Tumors in F344 Rats
Immunohistochemical Characterization of ENU-induced Brain Tumors in F344 RatsImmunohistochemical Characterization of ENU-induced Brain Tumors in F344 Rats
Immunohistochemical Characterization of ENU-induced Brain Tumors in F344 Rats
 
Non-lesions, Misdiagnoses, Missed Diagnoses, and Other Interpretive Challenge...
Non-lesions, Misdiagnoses, Missed Diagnoses, and Other Interpretive Challenge...Non-lesions, Misdiagnoses, Missed Diagnoses, and Other Interpretive Challenge...
Non-lesions, Misdiagnoses, Missed Diagnoses, and Other Interpretive Challenge...
 
EPL, Inc. - Comparative Anatomy of the Eye
EPL, Inc. - Comparative Anatomy of the EyeEPL, Inc. - Comparative Anatomy of the Eye
EPL, Inc. - Comparative Anatomy of the Eye
 
EPL, Inc - Pathology Peer Review
EPL, Inc - Pathology Peer Review EPL, Inc - Pathology Peer Review
EPL, Inc - Pathology Peer Review
 

Último

Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Sérgio Sacani
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
Silpa
 
Human genetics..........................pptx
Human genetics..........................pptxHuman genetics..........................pptx
Human genetics..........................pptx
Silpa
 
THE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptx
THE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptxTHE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptx
THE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptx
ANSARKHAN96
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
Scintica Instrumentation
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
Silpa
 

Último (20)

PSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxPSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptxCyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptx
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
 
Chemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdfChemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdf
 
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body GBSN - Microbiology (Unit 3)Defense Mechanism of the body
GBSN - Microbiology (Unit 3)Defense Mechanism of the body
 
Molecular markers- RFLP, RAPD, AFLP, SNP etc.
Molecular markers- RFLP, RAPD, AFLP, SNP etc.Molecular markers- RFLP, RAPD, AFLP, SNP etc.
Molecular markers- RFLP, RAPD, AFLP, SNP etc.
 
Human genetics..........................pptx
Human genetics..........................pptxHuman genetics..........................pptx
Human genetics..........................pptx
 
THE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptx
THE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptxTHE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptx
THE ROLE OF BIOTECHNOLOGY IN THE ECONOMIC UPLIFT.pptx
 
Site Acceptance Test .
Site Acceptance Test                    .Site Acceptance Test                    .
Site Acceptance Test .
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
 
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRLGwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
Gwalior ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Gwalior ESCORT SERVICE❤CALL GIRL
 
POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.POGONATUM : morphology, anatomy, reproduction etc.
POGONATUM : morphology, anatomy, reproduction etc.
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
 
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort ServiceCall Girls Ahmedabad +917728919243 call me Independent Escort Service
Call Girls Ahmedabad +917728919243 call me Independent Escort Service
 

Acquiring Practical Population Estimates of Neurons Through Design-Based Stereology: Dissecting the Disector

  • 1. Acquiring Practical Population Estimates of Neurons Through Design-Based Stereology: Dissecting the Disector ABSTRACT A design-based stereological probe known as the optical disector is employed frequently to acquire unbiased neuronal population estimates from thick histologic sections. This methodology includes customizable parameters for systematic sampling through the X, Y, and Z axes of the region of interest (ROI). For the purpose of this study, cryosections of 40 μm nominal thickness were immunostained for tyrosine hydroxylase (TH) to detect dopaminergic neurons in the substantia nigra pars compacta (SNpc) of C57BL/6J mice. Stereological estimates of TH+ neuron populations were acquired using the Optical Fractionator Workflow module of the Stereo Investigator software system (MBF Bioscience). Because the histologic processing and immunostaining of thick sections may result in non-uniform distribution and density of TH+ neurons throughout the Z axis of the SNpc, various disector heights and placements were analyzed systematically to determine the degree to which disector height selection contributed substantially to the total population estimates. We concluded that the choice of disector height had a major influence on total population estimates of TH+ neurons in the SNpc. For studies that utilize the optical disector method to quantify neuronal population estimates, adequate preliminary sampling should be performed initially through the entire Z axis with extrapolation of the data in order to achieve accurate population estimates. Daniel Zadory, Ellen Burton, Jeffrey Wolf. Experimental Pathology Laboratories, Inc. OBJECTIVE Evaluate the optical disector component of the design-based stereological probe, the optical fractionator, through various disector heights and placements to determine their impact on stereologically-derived TH+ neuron estimates in the SNpc of C57BL/6J mice. RESULTS CONCLUSIONS Optimally, stereological estimates obtained using the optical fractionator approach should be based on tissue sections in which the distribution of objects (e.g., neurons) is uniform throughout the Z-depth. However, obtaining thick sections with entirely uniform cell distributions can be technically challenging. The impact of disector height and placement on total population estimates in thick histologic sections can be established by sampling through the entire Z-depth. For the biphasic distribution pattern that we typically encounter, the most consistent and most accurate results were obtained when disectors were placed so as to encompass symmetrical portions of the z-depth distribution curve. A recently released Stereo Investigator module called Resample Disector allows for similar preliminary analysis of sampling parameters through the Z- depth. RESULTS REFERENCES •West M.J., Slomianka L., Gundersen H.J., (1991); Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator. Anat Rec; 231:482. •Baquet Z.C., Williams D., Brody J., Smeyne R.J., (2009); A comparison of model-based (2D) and design-based (3D) stereological methods for estimating cell number in the substantia nigra pars compacta (SNpc) of the C57BL/6J mouse. Neuroscience; 161(4):1082-90. doi: 10.1016/j.neuroscience.2009.04.031. •Torres E.M., Meldrum A., Kirik D., Dunnett S., (2006); An investigation of the problem of two-layered Immunohistochemical staining in paraformaldehyde fixed sections. Journal of Neuroscience Methods; 158, 66-74 •Carlo C.N., Stevens C.F., (2011); Analysis of differential shrinkage in frozen brain sections and its implications for the use of guard zones in stereology. Journal of Comparative Neurology; 519:2803-2810 •Gardella D., Hatton W.J., Rind H.B., Rosen G.D., von Bartheld C.S., (2003); Differential tissue shrinkage and compression in the z-axis: implications for optical disector counting in vibratome-, plastic- and cryosections. Journal of Neuroscience Methods; 124, 45-59 INTRODUCTION The purpose of design-based stereology is to efficiently obtain precise and unbiased morphometric estimates of specific features in whole organs or anatomical structures by subsampling thru three-dimensional (3D) axes of the target region. Earlier two-dimensional (2D) model-based stereological methods relied on parameters ascertained through qualitative assumptions of volume, size, density, orientation, and shape that introduced varying degrees of bias. While both design- based and model-based stereological methods have strengths and weaknesses, it is imperative that these limitations are understood by researchers, so that reproducible, accurate, and unbiased estimates can be generated, and results from different laboratories can be reasonably compared (Baquet et al., 2009). A widely used design-based stereology probe, the optical fractionator, is employed frequently to quantify neurons in thick histologic sections as a measure of pharmacological efficacy or neurotoxicity. Through unbiased systematic uniform random sampling in a 3D space, this approach combines two elements of previously established stereological probes, the Optical Disector and Fractionator (West et al., 1991). Population estimates are derived through the following formula: METHODS •Specimen Collection and Processing Twenty male C57BL/6J mice of approximately 11-12 weeks old were anesthetized by intraperitoneal injection of sodium pentobarbital and transcardially perfused with physiological saline followed by 4% paraformaldehyde (PFA). The intact brains were removed and post-fixed in 4% PFA overnight at 4⁰ C, followed by separate immersion fixations of 10% and 30% sucrose solution at 4⁰ C for 24 hours and 48 hours, respectively, to initiate cryoprotection. Following cryoprotection, the brains were flash frozen for approximately 35 seconds in isopentane chilled to -40⁰ C. METHODS •Immunohistochemical Detection of TH+ Neurons in the SNpc Each brain was microtomed serially in the coronal plane (i.e., transversely along the rostral-caudal axis) at 40 μm intervals using a sliding microtome and systematically transferred into a 24-well plate containing 30% ethylene glycol solution and stored at - 20⁰ C. A section interval of 1:3 was identified and briefly washed in 0.1 M phosphate buffered saline (PBS) followed by a 10 minute incubation in 3% H2O2 in PBS to quench endogenous peroxidase activity. Non-specific binding of antibodies to targets was blocked by immersion of the sections in a solution of 10% normal goat serum and 1% bovine serum albumin, made up in PBS for one hour at room temperature. Immunostaining was performed according to the standard avidin-biotin complex (ABC) method. Sections were then incubated in a solution containing the primary Rabbit Polyclonal Anti-Tyrosine Hydroxylase (EMD Millipore, Billerica, MA) antibody at a dilution of 1:4000 for 48 hours at 4⁰C, and then in the secondary antibody, biotinylated goat anti-rabbit IgG (Vector Laboratories, Inc.), at a dilution of 1:6000 and incubated for another 2 hours at room temperature. The brain sections were then incubated for 60 minutes in an ABC solution (Standard VectaStain Elite Kit, Vector Laboratories, Inc.) at room temperature. Visualization of the reaction was accomplished by immersion in 0.03% 3,3-diaminobenzidine (DAB, Sigma Fast Tablets, Sigma-Aldrich) for 1 minute at room temperature. Sections were then floated onto positively charged glass slides and air-dried for approximately 1 hour at room temperature. Following a succession of rinses with ethanol (100%, 95%, and 70%, respectively) and distilled water, sections were then counterstained FD Cresyl Violet Solution and cover slipped using a resinous mounting medium. •Design-Based Stereology The total numbers of TH+ neurons in the SNpc were estimated using the optical fractionator approach (West et. al, 1991) through the entire Z depth. Accordingly, neuron cell bodies were counted in a subsample of sections, section thicknesses, and section areas, and then the results were extrapolated to provide estimates of total number of TH+ neurons. Contours (virtual outlines) of the SNpc were drawn in Stereo Investigator (MBF, Williston, VT) for each transverse histologic brain section. The SNpc region is a dense region of neuron soma which regresses along the pars reticulata (SNr). Areas not included in the tracings were the SNr, pars laterials, ventral tegmental area, and immunoreactive fiber projections from the pars compacta. Sampling parameters for stereological cell counting were established in the Optical Fractionator Workflow module as follows: •Data Analysis Neuronal cell counts were exported to individual Excel spreadsheet files and neuronal populations through the Z-depth layers were assessed to determine the uniformity of distribution. As anticipated, neuronal cell densities of were consistently non-uniform throughout the Z-depth; however, the relative pattern of distribution was fairly symmetrical from the Z-depth midline to the top and bottom surfaces of the tissue sections. To further understand the quantitative impact this biphasic distribution has on total population estimates, we then superimposed disectors at various depths and calculated estimates of TH+ neuron numbers using the optical fractionator formula. Nobj = 1/ssf × 1/asf × 1/tsf × ΣQ Nobj = number of objects ssf (section sampling fraction) = the number of SNpc sections evaluated / total number of SNpc sections microtomed asf (area sampling fraction) = counting frame size (microns) / counting frame interval (microns) tsf (thickness sampling fraction) = disector height (microns) / mean measured section thickness (microns) ΣQ = the number of cells counted Counting Frame Area (XY) (μm²) 36,00 Disector Height (Z) (μm) 1 19.0 Disector Volume (XYZ) (μm³) 68,400 Guard Zone Distance (μm) 0.0 Sampling Grid Area (XY) (μm²) 14,400 Section Evaluation Interval 3 Mean Estimates of TH+ Neurons Produced by the Optical Fractionator Probe (N = 20) Total Markers Number of Sections Number of Sampling Sites Measured Defined Mounted Thickness Estimated Population by Mean Section Thickness C.E. Values (m=1) 680 (± 133.79) 13 (± 1.10) 385 (± 26.64) 15.93 (± 0.99) 6,859 (± 1,476) 0.05 (± 0.01) 0 20 40 60 80 100 120 0 -1 -2 -3 -4 -5 -6 -7 -8 -9 -10 -11 -12 -13 -14 -15 -16 -17 -18 No. of TH+ Neurons Z Depth from top of Section (-1.00μm) Mean Z-Depth Distribution of TH+ Neurons 7,795 14,229 2,680 7,628 9,178 8,953 8,729 8,716 0 2,000 4,000 6,000 8,000 10,000 12,000 14,000 16,000 Disector 0-13 microns Disector 2-5 microns Disector 6-11 microns Disector 4-13 microns Disector 2-8 microns Disector 2-15 microns Disector 9-15 microns Baquet et al., 2009 Estimate No. of TH+ Neurons Dissecting the Disector: Optical Fractionator Estimates of Total TH+ Neurons Relative to Disector Placement This distribution illustrates the non-uniform density of TH+ neurons as counted throughout the Z-depth. Note the symmetry of the biphasic pattern. Potential reasons for this biphasic distribution as described frequently in the literature include problems of antibody/stain penetration, differential tissue shrinkage, and differential tissue compression (Gardella et al., 2003), (Torres et al., 2006), (Carlo et al., 2011). To further understand the underlying cause of this non-uniform TH+ distribution along the Z-depth, we examined a representative tissue section from a unique perspective. A coronal 40 μm free-floating brain section containing the SNpc was immunostained as previously described, minus the cresyl violet counterstain. The immunostained section was then rotated perpendicularly and embedded on edge in optimal cutting temperature compound (O.C.T., Sakura Finetek). Cryosections were obtained transversely (i.e, sagittal plane) at 10 μm intervals through the region of the SNpc and counterstained in FD Cresyl Violet as previously described. •(A) Stereo Investigator 20X Virtual Slice image of immunoreactivity through the sagittal plane (Z-Depth) of a 40 μm coronal section. •(B) 100X image of the SNpc. The pattern of immunoreactivity correlates with the counted mean Z-depth distribution of TH+ neurons. Non-immunoreactive cells (cresyl violet) were observed infrequently in the middle portion of the z-depth. •(C) Region distal to the SNpc. Immunoreactive neuronal processes are clearly visible throughout the Z-depth. Non-immunoreactive cells were distributed evenly throughout. A B C Disectors of varying heights were superimposed at different sampling depths within the extrapolated mean Z-depth distributions. To determine total population estimates relative to each disector placement, estimates of TH+ neuron numbers were calculated using the optical fractionator formula. Disectors that encompassed symmetrical portions of the bisphasic curve produced numbers that were comparable to previous estimates of TH+ neurons in C57BL/6J mice: 8716 ±338 (range = 7546-9869, N = 10) (Baquet et al., 2009) RESULTS