Hema Cytometer
Hema Cytometer - Related Videos
11:08
Endothelialized Microfluidics for Studying Microvascular Interactions in Hematologic Diseases
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Cited by 51 •
2012
A method to culture an endothelial cell monolayer throughout the entire inner 3D surface of a microfluidic device with microvascular-sized channels (<30 μm) is described. This in vitro microvasculature model enables the study of biophysical interactions between blood cells, endothelial cells, and soluble factors in hematologic diseases.
10:58
Assessment of GFP Expression and Viability Using the Tali Image-Based Cytometer
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2011
This protocol describes how to perform cell viability and fluorescence expression assays using the Tali Image-Based Cytometer.
06:22
Standardization of Transfer across Labs between Flow Cytometers for Detection of Lymphocytes in Japanese Encephalitis Vaccinated Children
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Cited by 4 •
2023
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10:59
Mass Cytometry: Protocol for Daily Tuning and Running Cell Samples on a CyTOF Mass Cytometer
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Cited by 48 •
2012
The steps necessary for daily tuning and optimization of the performance of a CyTOF mass cytometer are described. Comments on optimal sample preparation and flow rate are...
08:29
Biomarkers in an Animal Model for Revealing Neural, Hematologic, and Behavioral Correlates of PTSD
0 Views •
Cited by 29 •
2012
We describe a rat model of post traumatic stress disorder (PTSD) that reveals the persistent alterations in neuroendocrine function and the delayed long-term, exaggerated fear response, characteristic of PTSD patients. The animal model and methods described here are useful for correlating biomarkers in brain nuclei, which are mechanistic but cannot be measured in patients, with biomarkers in peripheral white blood cells, which can.
FAQs
A Hema Cytometer tracks cells individually as they pass through the analyzer. Detection relies on measurable physical signals, including cell size, electrical resistance, or light-scattering behavior. These signals allow the system to separate cellular events and quantify the corresponding populations. This individual-event approach supports consistent assessment of blood composition.
Each physical property provides a basis for distinguishing cells during measurement. Differences in size, electrical resistance, or light-scattering behavior help the analyzer assign detected events to cellular populations rather than treating the sample as an undifferentiated mixture. Using these measurable characteristics supports quantitative characterization of red blood cells, white blood cells, and platelets.
Standardized counting makes results more comparable across samples and experimental runs. Because the analyzer produces quantitative measurements of cellular populations and concentrations, researchers can assess changes using a consistent measurement approach. This improves workflow efficiency and reproducibility, which is especially valuable when investigating biological variation, disease-related alterations, or responses to experimental treatments.
Measurements can reveal shifts affecting red blood cells, white blood cells, and platelets. Examining these populations provides quantitative information about changes in hematological composition rather than relying only on general observations. Such results can help researchers investigate altered physiology, identify disease-related cellular changes, and examine how experimental conditions influence blood-cell populations.
The workflow begins when a blood sample passes through the analyzer, where cells are detected individually. The instrument evaluates physical properties associated with those events, then produces quantitative information about cellular populations and concentration. Researchers can use the resulting measurements to assess hematological composition and compare samples within a biological or clinical research workflow.
The measurements provide quantitative information about blood-cell populations and their concentration. Results can be considered across red blood cells, white blood cells, and platelets to identify changes in hematological composition. Because the output is numerical and standardized, it supports comparisons among samples and helps researchers evaluate whether cellular patterns change under different biological or experimental conditions.
Biology researchers may use the instrument to assess normal physiology, investigate disease-related alterations, or evaluate experimental treatments. It can also help monitor cellular responses during a study by providing repeated, quantitative measurements of blood-cell populations. These applications make the technique relevant whenever changes in hematological composition are an important experimental outcome.
By measuring blood-cell populations and concentrations in a standardized way, the instrument can provide quantitative evidence of changes associated with an experimental treatment. Researchers can compare hematological composition before or across study conditions and monitor cellular responses. The resulting data support assessment of treatment-related effects while improving the efficiency and reproducibility of the research workflow.