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URL: https://www.thorlabs.com/newgrouppage9.cfm?objectgroup_id=7473
Proper Citation: iCyte Automated Imaging Cytometer (RRID:SCR_020119)
Description: iCyte Automated Imaging Cytometer combines digital microscopy with image processing and the real time population data analysis of analytical cytometry to produce high levels of information content with minimal investigation time.The iCyte combines the advantages of flow and image cytometry into a single system that provides unparalleled flexibility and power for rapid measurements of biochemical constituents or evaluating cell morphologies. It comes packaged with our iGen software for data acquisition and analysis. The system houses four lasers that are available in five different wavelengths (see Specs tab for more details) for laser-spot scanning illumination. The detection system, which combines PMTs for fluorescence detection and photodiodes for absorbance and scatter detection, offers excellent quantitative cytometric performance and imaging capabilities. iCyte provides fully automated operation for analysis of cellular and tissue samples that have been stained with fluorescent or chromatic dyes. Fluorescent excitation, laser light absorbance by chromatic dyes, and scatter signals may all be acquired simultaneously. This quantitative image analysis system enables both walk-away high-throughput applications (e.g., cell cycle screens on a 96-well plate in under ten minutes) and high-content analysis (where scanning and analysis can take longer depending on the level of multiplexing required, desired resolution and size of the scan area). It automatically segments and quantifies cellular and subcellular events. The automated analysis allows for the study of morphometric and fluorescent measurement correlations on thousands of cells per specimen. The iBrowser software automates the analysis of the measurement for quick and easy to understand analysis.
Resource Type: instrument resource
Keywords: iCyte, Cytometer, Instrument Equipment, USEDit
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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