Computerized Stereology Innovations

Stereology Innovations

SRC Biosciences continues to grow the Stereologer System and lead the industry through constant innovation.

Automatic Optical Fractionator

Unbiased counts of immunostained neurons using the automatic optical fractionator give results with 8-10 times higher throughput. Compared to conventional manual stereology, automatic counts mean fewer errors (more accuracy), no subjectivity bias, wasted time or user fatigue.

Ref: Mouton, P.R., et al.. Unbiased Estimation Of Cell Number Using The Automatic Optical Fractionator. J Chemical Neuroanatomy, December 2016.  We are currently working on the same or better performance for other stained neural structure (e,g., glial cells, fibers, capillaries) and neuropathology (e.g., neuron death, stroke damage, traumatic brain injury) for brain regions with a range of low to high packing densities.

Rare Event Protocol®

Stereology innovation 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.

Space Balls®

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.

Virtual Cycloids

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.


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