Cell imaging software module Incucyte®
analysistreatment

Cell imaging software module - Incucyte® - Sartorius Group - analysis / treatment
Cell imaging software module - Incucyte® - Sartorius Group - analysis / treatment
Cell imaging software module - Incucyte® - Sartorius Group - analysis / treatment - image - 2
Cell imaging software module - Incucyte® - Sartorius Group - analysis / treatment - image - 3
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Characteristics

Applications
cell imaging
Function
analysis, treatment

Description

The Incucyte® Cell-by-Cell Analysis Software Module enables a range of applications for mixed cultures of of adherent and non-adherent cells. Perform label-free cell counts on adherent and non-adherent cells and subsequent cell-by-cell classification based on shape, size or fluorescence intensity to quantify dynamic changes in subpopulations within a mixed culture, opening a new world of discovery. Identification, classification, and analysis of subsets of cells is easily accomplished with a suite of purpose-built software tools and guided workflow. Workflow indicates typical steps taken for use of the Incucyte® Cell-by-Cell Analysis Software Module to segment individual cells and classify population subsets using area, eccentricity or fluorescence intensity of labeled cells. Incucyte® Annexin V NIR reagent was used to detect total dead cell number in the presence of compound treatment over time. Additional functionality using total cell morphology can be accomplished using the Advanced Label-free Classification Analysis module. Identify, count and classify cells Novel image segmentation algorithm identifies individual, unlabeled, adherent and non-adherent cells in HD phase images One- or two-parameter classification tools group cells into subsets using size, shape or fluorescence intensity Verify and graph changes in subsets over time Visually verify classifications Easily graph data to reveal trends and generate insight Improve productivity Define parameters once, then re-use or adjust Automatically analyze and classify cells from thousands of images with a few clicks
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