Stereologer System
Stereologer System - Related Videos
11:25
Knowing What Counts: Unbiased Stereology in the Non-human Primate Brain
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Cited by 22 •
2009
The anatomical organization of the primate brain can provide important insights into normal and pathological conditions in humans. Unbiased stereology is a method for accurately and efficiently estimating the total neuron number (or other cell type) in a given reference space1.
08:19
Stereological Estimation of Dopaminergic Neuron Number in the Mouse Substantia Nigra Using the Optical Fractionator and Standard Microscopy Equipment
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Cited by 45 •
2017
This work presents a step-by-step protocol for the unbiased stereological estimation of dopaminergic neuronal cell numbers in the mouse substantia nigra using standard microscopy equipment (i.e., a light microscope, a motorized object table (x, y, z plane), and public domain software for digital image analysis.
09:15
Stereological Estimation of Cholinergic Fiber Length in the Nucleus Basalis of Meynert of the Mouse Brain
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2020
Neuronal fiber length within a three-dimensional structure of a brain region is a reliable parameter to quantify specific neuronal structural integrity or degeneration. This article details a stereological quantification method to measure cholinergic fiber length within the nucleus basalis of Meynert in mice as an example.
12:42
Stereological and Flow Cytometry Characterization of Leukocyte Subpopulations in Models of Transient or Permanent Cerebral Ischemia
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Cited by 16 •
2014
Brain myeloid cells characterization following stroke can be performed by stereology using the optical fractionator method, or by a flow cytometric analysis of brain leukocytes suspensions. Both are useful techniques to perform an accurate phenotypical distinction of the main myeloid cell subsets found in the ischemic brain.
07:55
The Optical Fractionator Technique to Estimate Cell Numbers in a Rat Model of Electroconvulsive Therapy
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Cited by 24 •
2017
Here, we present a stereological method, the optical fractionator, used to quantify the formation of new neurons, and their survival, in the rat hippocampus following electroconvulsive stimulation. When correctly implemented, the sensitivity and efficiency of stereological methods ensures accurate estimates with a fixed and predetermined precision.
FAQs
Systematic random sampling distributes observations across tissue sections according to a planned scheme rather than relying on convenient fields. This approach gives structures across the sampled tissue a fair opportunity for inclusion and helps reduce sampling bias. As a result, estimates of biological quantities become more rigorous and reproducible when comparing tissues, experimental groups, or disease-related changes.
Each geometric probe is suited to a particular structural parameter. Counting frames support cell or object counts, point grids support volume estimation, and optical disectors support counting within sampled three-dimensional regions. Selecting the appropriate probe links the image analysis to the desired outcome, allowing researchers to estimate cell number, volume, length, or surface area from tissue sections.
Optical disectors provide a defined sampling approach for estimating cell number within tissue sections. By applying this probe to sampled biological material, researchers can quantify cells rather than relying only on visual impressions or measurements from selected images. This is especially relevant when studies examine cellular changes associated with development, neurobiology, pathology, or treatment effects.
A typical workflow begins with tissue sections and a planned sampling strategy, followed by computer-assisted examination of selected image fields. The researcher applies a suitable geometric probe, such as a counting frame, point grid, or optical disector, and records the relevant observations. The system then supports estimation of the chosen structural parameter across the sampled tissue.
The platform is useful when a study must quantify structural differences rather than describe tissue appearances qualitatively. Its applications include examining development, neurobiology, pathology, drug effects, and tissue organization. Researchers can use it to compare cell populations or tissue architecture across conditions, making it relevant to experiments focused on disease-related remodeling or biological change.
Stereological analysis can provide quantitative estimates of cell number, tissue or cellular volume, structural length, and surface area. These measurements help characterize how biological organization changes between samples or experimental conditions. In biomedical research, the resulting data can support evaluation of pathological alterations, treatment-associated effects, and broader relationships between tissue structure and biological processes.