Retinal Cell Count
Retinal Cell Count - Related Videos
05:52
Whole-Mount Immunostaining and Automatic Counting of Mouse Retinal Ganglion Cells
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Cited by 1 •
2024
This protocol describes the procedure for isolating the whole-mount mouse retina and performing immunostaining to label all retinal ganglion cells (RGCs). The process is followed by imaging and automatically counting RGCs using AI-based software, providing a simple, fast, and accurate method for quantifying RGCs in the entire mouse retina.
10:19
Using a Hemacytometer to Count Cells
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2023
Many biomedical experiments require manipulation of a known quantity of cells, in order to achieve accurate, reproducible, and statistically-relevant data. Therefore, learning how to count cells is a particularly essential technique for any successful biomedical scientist. The most common way to count cells is by using a hemacytometer - an instrument that bears two laser-etched grids, which aid in the enumeration of an aliquot cells under a simple light microscope. This data can then be used to...
05:47
Counting and Determining the Viability of Cultured Cells
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Cited by 19 •
2008
Determining the number of cells in culture is important in standardization of culture conditions and in performing accurate quantitation experiments. In this video, we demonstrate how cells are counted using a hemacytometer.
06:37
Counting Human Neural Stem Cells
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Cited by 14 •
2007
Knowledge of the exact number of viable cells is required for many tissue culture manipulations. This protocol describes how to differentiate between live and dead cells and quantify cells using a hemacytometer. Although it describes counting human neural stem/precursor cells (hNSPCs), it can be used for other cell types.
07:22
Isolation of Retinal Stem Cells from the Mouse Eye
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Cited by 12 •
2010
In this video, we will demonstrate how to isolate retinal stem cells from the ciliary epithelium of the mouse eye and grow them in culture to form clonal retinal spheres. The spheres that are isolated possess the cardinal properties of stem cells: self-renewal and multipotentiality.
FAQs
Cell-specific markers add biological selectivity to the count. After tissue sampling or retinal imaging, microscopy can use these markers to identify the cells of interest within a defined retinal region rather than treating every visible signal as equivalent. The resulting abundance measurement is therefore better suited to comparing particular cellular populations across samples, disease states, or time points.
Comparability depends on applying the same counting logic to each sample: cells must be identified consistently, evaluated within defined regions, and reported as abundance or density using a consistent approach. Manual and automated image analysis can both support this process, but standardization is important because it improves reproducibility and makes cellular differences easier to interpret across samples or time points.
A density value only has meaning in relation to the retinal region from which it was obtained. Defining the region before analysis helps ensure that samples are assessed on an equivalent basis and that differences reflect cellular abundance rather than inconsistent sampling. This regional framework supports clearer comparisons of disease severity, injury, inflammation, or treatment-related cellular change.
A typical workflow begins with retinal tissue sampling or retinal imaging, followed by microscopy of the selected material or image. Cell-specific markers may be used to identify the population being assessed. Analysts then examine defined regions and use manual or automated image analysis to count cells or calculate density. The measurements can subsequently be compared across samples or time points.
Researchers can apply these measurements when studying retinal degeneration, injury, inflammation, or responses to treatment. Counts provide a quantitative way to compare cellular changes between disease conditions, samples, or time points. This helps move assessment beyond visual inspection of tissue and supports evaluation of whether cellular abundance changes alongside disease severity or after an intervention.
Retinal cell measurements can be interpreted alongside visual function and clinical outcomes to relate microscopic cellular changes to broader medical effects. A standardized count supplies a measurable structural variable that can be compared with functional or clinical observations. This combined perspective helps researchers examine whether changes in retinal cell abundance correspond to changes relevant to vision and patient assessment.