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Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

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Related Experiment Video

Updated: May 18, 2026

Knowing What Counts: Unbiased Stereology in the Non-human Primate Brain
11:25

Knowing What Counts: Unbiased Stereology in the Non-human Primate Brain

Published on: May 14, 2009

Estimating object number in biological structures.

Mark J West

    Cold Spring Harbor Protocols
    |October 3, 2012
    PubMed
    Summary
    This summary is machine-generated.

    Estimating the number of cells like neurons and synapses is crucial for understanding brain function. This article details unbiased methods for estimating these numbers when direct counting is impossible.

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    Last Updated: May 18, 2026

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    Area of Science:

    • Neuroscience
    • Stereology
    • Quantitative Biology

    Background:

    • Cell and subcellular structure numbers correlate with organ and tissue function.
    • Neurons and synapses are key to neural system information processing.
    • Accurate cell counts are vital for evaluating neural system capacity.

    Purpose of the Study:

    • To discuss methods for estimating the number of biological objects, such as neurons and synapses.
    • To highlight the importance of unbiased and precise estimation techniques.
    • To introduce the disector counting technique as a reliable method.

    Main Methods:

    • Exploration of sampling strategies for quantitative analysis.
    • Discussion of direct and indirect counting techniques.
    • Detailed explanation of the disector method for unbiased stereological estimation.

    Main Results:

    • Demonstration that unbiased estimation is feasible even with large object numbers.
    • Highlighting potential sources and types of bias in counting.
    • Providing an example application of the discussed estimation techniques.

    Conclusions:

    • Accurate estimation of cell and synapse numbers is achievable through appropriate stereological methods.
    • The disector technique offers a precise and unbiased approach to quantifying neural structures.
    • Reliable quantitative data on neural elements is essential for functional assessments.