Differential Cell Count
Differential Cell Count - Related Videos
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...
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.
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.
11:01
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
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Cited by 90 •
2016
This paper describes the quantification of hemocytometer and migration/invasion micrographs through two new open-source ImageJ plugins Cell Concentration Calculator and migration assay Counter. Furthermore, it describes image acquisition and calibration protocols as well as discusses in detail the input requirements of the plugins.
12:25
Counting Proteins in Single Cells with Addressable Droplet Microarrays
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Cited by 2 •
2018
Here we present addressable droplet microarrays (ADMs), a droplet array based method able to determine absolute protein abundance in single cells. We demonstrate the capability of ADMs to characterize the heterogeneity in expression of the tumor suppressor protein p53 in a human cancer cell line.
FAQs
Percentages alone can be misleading because they describe how white blood cells are distributed relative to one another, not the overall number present. Comparing the differential with the total white blood cell count gives a more complete picture of immune activity. This combined view supports more appropriate assessment of infections, inflammation, and other clinical concerns.
Cell classification relies on two complementary sources of information. In a stained smear, a cell’s morphology, meaning its visible structural features, can be assessed microscopically. Automated instruments instead analyze cellular signals to classify populations. Using either approach helps distinguish neutrophils, lymphocytes, monocytes, eosinophils, and basophils for laboratory interpretation.
Manual analysis examines a stained blood smear under a microscope, allowing the laboratory to assess cell appearance directly. Automated hematology instruments classify cells using cellular signals rather than visual microscopy. Both approaches provide information about white blood cell populations, while the selected approach determines how cell characteristics are evaluated in the laboratory.
The main populations considered are neutrophils, lymphocytes, monocytes, eosinophils, and basophils. Their proportions and characteristics contribute different pieces of information about the blood’s immune-cell profile. Reviewing these populations together, rather than focusing on one category in isolation, helps place findings within the broader laboratory and clinical picture.
Laboratories can process the sample in two principal ways. A stained blood smear is examined manually under a microscope, or an automated hematology instrument classifies the cells according to their cellular signals. The resulting assessment describes the distribution and characteristics of the major white blood cell types for medical evaluation.
Clinicians may use the results when evaluating suspected infections, inflammation, allergic responses, immune disorders, or hematologic diseases. The test can also contribute to monitoring over time. Its findings are not interpreted in isolation; symptoms, the total white blood cell count, and other clinical findings provide essential context for diagnosis and follow-up.