SRC Stereology Innovations
SRC Biosciences is the industry leader for over two decades due to its stereology innovations, highly user-friendly operation and the most affordable cost to buy and maintain.
Deep Stereology with the Automatic Optical Fractionator™
Most recent SRC stereology innovations involve machine learning, or more specifically, deep learning, in conjunction with unbiased stereology (deep stereology). The result is the first method for automatic counts of immunostained neurons on tissue sections.
This approach developed with technology grants to SRC Biosciences from the National Science Foundation and the National Institutes of Health gives results with equal accuracy, higher reproducibility in a small fraction of the time and without the need for manual cell counts as with conventional stereology.
Deep stereology is compatible with all computerized stereology systems sold by all vendors; this allowing this powerful capability to operate with any stereology system at a minimal cost. All automated methods allow for verification of results using state-of-the-art user validation.
Ref: Alahmari, S., Goldgof, D., Hall, D. Phoulady, H.A. Patel, R., Mouton, P.R. Automated Counts of Stained Cells by Deep Learning and Unbiased Stereology. J Chem Neuroanat, 96:94-101, 2019.
Ref: Phoulady, H.A., Goldgof, D., Hall, L.O., Mouton, P.R. Automatic Ground Truth for Deep Learning Stereology of Immunostained Neurons and Microglia in Mouse Neocortex. J. Chemical Neuroanatomy, 96: 1-7, 2019.
Ref: Mouton, P.R., Phoulady, H.A., Goldgof, D., Hall, L.O., Gordon, M., Morgan, D. Unbiased Estimation Of Cell Number Using The Automatic Optical Fractionator. J Chemical Neuroanatomy 80: 1-8, 2017.
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Other Stereology Innovations from SRC Biosciences:
Rare Event Protocol®
Allows for efficient counts of rare events (cells) in a defined region of interest. Reduces time for unbiased counts of rare events to one hour or less.
Ref: Mouton, P.R. Unbiased Stereology: A Concise Guide, Johns Hopkins University Press, 2011.
Use of isotropic probes (spheres) to quantify Length and Length Density of linear features such as fibers, capillaries, etc. on tissue sections. Since president are isotropic, Length can be quantified on sections cut at any orientation, e.g., coronal, horizontal.
Ref: Mouton, P.R., et al., Stereological Length Estimation Using Spherical Probes, J Microscopy 206: 54-64, 2002.
Ref: West, M.J. Space Balls Revisited: Stereological Estimates of Length With Virtual Isotropic Surface Probes. Front. Neuroanat. 12:49, 2018.
Unbiased solution for estimating Total Surface Area and Surface Density of cells and other biological objects in sections cut at any orientation.
Ref: Gokhale, A.M., et al., Stereological Estimation Of Surface Area In Thick Transparent Sections Of Arbitrary Orientation Using Virtual Cycloids. J Microscopy 216(Pt1): 25-31, 2004.
Automatic Stereology Thickness™
Automatic determination of sections thickness with particular emphasis on stereology studies.
Ref: Elozory et al., Automatic Section Thickness Determination Using An Absolute Gradient Focus Function. J Microscopy 248(3): 245-59, 2012.
The Stereologer is the only stereology program that automatically optimizes tissue sampling for maximum efficiency.
Ref: Mouton P.R. Principles And Practices Of Unbiased Stereology: An Introduction For Bioscientists. The Johns Hopkins University Press, Baltimore, 2002.