2015
DOI: 10.1007/978-1-4939-3302-0_20
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Sickle Cell Imaging Flow Cytometry Assay (SIFCA)

Abstract: Hemoglobin S polymerization under hypoxic conditions in sickle cell disorders causes characteristic shape changes to human red blood cells. Previous sickling assays used to investigate the efficacy of novel agents to treat these disorders are laborious and observer dependent. Here, we describe a partially automated, high-throughput sickling assay using imaging flow cytometry.

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Cited by 15 publications
(14 citation statements)
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“…Postfixation cells were washed and analyzed for shape change using the Amnis ImageStream X Mark II Imaging Flow Cytometer (MilliporeSigma). Shape change was quantitated using IDEAS application software (MilliporeSigma) using a modified protocol (SIFCA) provided by Gregory J. Kato (Vascular Medical Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA) (49,50).…”
Section: Methodsmentioning
confidence: 99%
“…Postfixation cells were washed and analyzed for shape change using the Amnis ImageStream X Mark II Imaging Flow Cytometer (MilliporeSigma). Shape change was quantitated using IDEAS application software (MilliporeSigma) using a modified protocol (SIFCA) provided by Gregory J. Kato (Vascular Medical Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA) (49,50).…”
Section: Methodsmentioning
confidence: 99%
“…The Range mask was created using the System 80, Range Area 350-1,200 pixels and Range Aspect Ratio 0.3-1 masks to reach a tighter fit to the actual contour of the BF region, and thus providing an accurate measurement of cellular information for the individual cell. This range is slightly different as compared to the RangeSystem mask at van Beers and coworkers (18) which indicates that Area varies between 350 and 5,000 pixels, and Aspect Ratio is in the range of 0-1. The combination of Shape Ratio (that is, minimum thickness of the masked object divided by the length) and Area features as a Sickle Index shape feature (= Shape Ratio×1,000/Area) enhances the selection of the "true" sickle cell region boundary from other delineated SS-RBC phenotypes (Fig.…”
Section: Finding An Optimal Shape Quantification Factor For Deoxygenamentioning
confidence: 69%
“…This has not been shown to be practical for the assessment of large populations of RBC with a highly heterogeneous morphology that is different from sample to sample. Imaging flow cytometry (IFC) combines the single cell image‐based screening of microscopy with the high‐throughput speed of conventional FCs . IFC can provide information regarding cellular structures, such as cell size, shape, orientation, signal intensity, location, and texture for each cell with high statistical validity through bright‐ and dark‐field channels, which require no staining procedures, and fluorescence channels.…”
mentioning
confidence: 99%
“…Sickling of samples was assessed using imaging flow cytometry in air. 33 However, glutaraldehyde must be removed from each sample prior to flow cytometry, preventing application of this assay to a high-throughput setting.…”
Section: Discussionmentioning
confidence: 99%