Imagestream Cytometer
Imagestream Cytometer - Related Videos
10:58
Assessment of GFP Expression and Viability Using the Tali Image-Based Cytometer
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Cited by 14 •
2011
This protocol describes how to perform cell viability and fluorescence expression assays using the Tali Image-Based Cytometer.
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...
11:00
Live Cell Cycle Analysis of Drosophila Tissues using the Attune Acoustic Focusing Cytometer and Vybrant DyeCycle Violet DNA Stain
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Cited by 13 •
2013
A protocol for cell cycle analysis of live Drosophila tissues using the Attune Acoustic Focusing Cytometer is described. This protocol simultaneously provides information about relative cell size, cell number, DNA content and cell type via lineage tracing or tissue specific expression of fluorescent proteins in vivo.
13:59
Reduced-gravity Environment Hardware Demonstrations of a Prototype Miniaturized Flow Cytometer and Companion Microfluidic Mixing Technology
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Cited by 9 •
2014
Spaceflight blood diagnostics need innovation. Few demonstrations have been published illustrating in-flight, reduced-gravity health diagnostic technology. Here we present a method for construction and operation of a parabolic flight test rig for a prototype point-of-care flow-cytometry design, with components and preparation strategies adaptable to other setups.
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
In this study, a method was developed to facilitate the transfer of experimental settings and analysis templates between two flow cytometers in two laboratories for the detection of lymphocytes in Japanese encephalitis-vaccinated children. The standardization method for the flow cytometer experiments will allow research projects to be effectively conducted in multiple centers.
FAQs
It preserves the rapid, multiparameter measurements associated with flow cytometry while also capturing visual information from individual cells. This combination lets researchers relate measured fluorescence and signal intensity to morphology and subcellular localization. The result is a more contextual analysis, especially when cells with similar molecular measurements differ in structure or spatial signal distribution.
These image types provide complementary views of each recorded cell. Together, they support evaluation of cell appearance, measured signal, and where that signal occurs within the cell. Because the images are collected for individual cells, researchers can connect visual features with fluorescence measurements rather than interpreting population-level signal intensity alone.
Software analyzes the recorded images to quantify features such as morphology, signal intensity, and subcellular localization. These measurements transform visual observations into data that can be compared across individual cells and populations. In bioengineering studies, that analysis helps connect molecular signals with structural characteristics and identify differences within heterogeneous samples.
Population averages can conceal distinct cell states or different relationships between structure and molecular signal. Image-based measurements preserve information from individual cells, allowing researchers to distinguish subpopulations using morphology, fluorescence intensity, and signal location together. This added context is useful when a sample contains cells responding differently to the same biological or engineered environment.
Cells are carried through a focused stream, where the system records brightfield, darkfield, and fluorescence images of individual cells. Software then evaluates image-derived features, including morphology, signal intensity, and subcellular localization. This workflow produces linked visual and quantitative information that can be used to compare cell states or responses within a sample.
The method can help evaluate how cells relate to biomaterials by combining molecular measurements with visual evidence of cellular structure. Researchers can examine cell morphology alongside fluorescence and signal location to characterize differences among cells exposed to engineered materials. Such linked measurements provide contextual information about cellular responses that a molecular measurement alone may not show.
Engineered tissues and drug-response experiments may produce complex or heterogeneous cellular outcomes. Imaging flow cytometry supports these studies by measuring cell states while retaining morphological and localization information. Researchers can therefore compare molecular signal with visible cellular changes, distinguish differing responses within a population, and assess biological effects with greater contextual detail.