Imaging Flow Cytometer
Imaging Flow 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.
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.
09:11
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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Cited by 5 •
2023
The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry data.
06:42
Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone
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Cited by 32 •
2013
We review our recent results on the integration of fluorescent microscopy and imaging flow cytometry tools on a cell-phone using compact and cost-effective opto-fluidic attachments. These cell-phone based micro-analysis devices might be useful for cytometric analysis, such as performing various cell counting tasks as well as for high-throughput screening of e.g., water samples in resource limited settings.
FAQs
As cells pass through a focused stream, the instrument records brightfield and fluorescence images across multiple channels for each event. Software then links detected fluorescence signals to the corresponding cell shape and internal visual features. This combined record allows researchers to interpret molecular markers in relation to individual-cell morphology rather than treating signal intensity as an isolated measurement.
Multiple channels allow different visual signals to be examined together within the same cell. Researchers can compare marker presence with morphology and localization, helping identify where a signal occurs and which cellular features accompany it. In infection studies, this supports recognition of intracellular pathogen signals and more detailed examination of host-pathogen interactions at the single-cell level.
The method evaluates individual cells rather than only reporting a population-wide average. Software can quantify differences in markers, morphology, and localization across thousands of cells, revealing cellular subgroups or uneven responses within a sample. This combination of single-cell detail and high event numbers provides statistically robust results that a small number of microscope fields may not capture.
Compared with conventional microscopy, imaging flow cytometry can examine many more individual cells in a high-throughput measurement framework. Compared with nonimaging cytometry, it retains visual information about morphology and signal localization. The distinction matters when researchers need both population-scale analysis and evidence that a fluorescence signal is associated with a particular cellular structure or appearance.
Cells are carried through a focused stream while the instrument captures brightfield and fluorescence images in multiple channels. The resulting images are analyzed computationally to quantify markers, morphology, localization, and variation between cells. This workflow transforms a large stream of individual image records into measurements that can support comparisons among immune-cell or infection-related populations.
It is useful when a study must combine immune-cell phenotyping with visual information from individual cells. Applications described for this approach include identifying infected cells, detecting intracellular pathogens, and examining host-pathogen interactions. These use cases benefit from linking fluorescence-based molecular signals to cellular structure while analyzing enough cells to assess variation across the population.
The approach can provide measurements of pathogen-associated signals together with cell morphology, signal localization, and marker profiles. Researchers can therefore distinguish cellular differences within an infected or immune population and relate molecular observations to visible cellular features. Such integrated outcomes help characterize infection-associated cells and support statistically robust analysis of host responses at single-cell resolution.