Turnkey Stereologer® System

A Complete or “Turnkey” Stereologer system includes all hardware and software for stereological analysis of stained tissue sections and stored images from brightfield, fluorescence, confocal, and electron microscopy, including large virtual slice images.

This Stereologer system includes the following components in a single quote (well within the budget of most single investigators):

Hardware Components for a Turnkey Stereologer® System include:

For more information on compatible hardware with our Stereologer® system, contact SRC Biosciences.

Stereologer system

Stereologer software for user-friendly, comprehensive, and efficient analysis of biological structures using state-of-the-art unbiased methods.

Features and functionality developed specifically for the Stereologer software:

For more information on Stereologer software and our upcoming upgrades for manual and automatic approaches in development, contact SRC Biosciences.

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Cited Works

Mouton, P.R., Gokhale, A.M., Ward, N.L., West, M.J. Stereological Length Estimation Using Spherical Probes. J Microsc 206: 54-64, 2002.

Mouton P.R. Principles And Practices Of Unbiased Stereology: An Introduction For Bioscientists. The Johns Hopkins University Press, Baltimore MD, May 2002.

Gokhale, A.M., Evans, R.E., Mackes, J.L., Mouton, P.R. Stereological Estimation Of Surface Area In Thick Transparent Sections Of Arbitrary Orientation Using Virtual Cycloids. J Microsc 216(Pt1): 25-31, 2004.

Mouton, P.R. Unbiased Stereology: A Concise Guide. The Johns Hopkins University Press, Baltimore MD, August 2011.

Mouton P.R., Phoulady HA, Goldgof D, Hall LO, Gordon M, Morgan D. Unbiased Estimation Of Cell Number Using The Automatic Optical Fractionator. J Chem Neuroanat. 80:1-8, 2017.

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.