Cardiotoxicity analysis of compund is often performed in a later phase during developement. Now, with cell imaging, cardiotoxicity assay can be performed in vitro in higher throughput and thus this assay can be used in the early phase of research. In this article, they explained how to do the automation in an unbiased way the Video-Based Analysis of Contractility and Calcium Flux of Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes Cultures.

Curated from Automated Video-Based Analysis of Contractility and Calcium Flux in Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes Cultured over Different Spatial Scales

Carcinogenesis potential of new entity are really important to detect at the early stage of discovery. Cell imaging in HCA/HCS can allow to analysis micronuclei (MN) in a automation manner as we can see in this article on lymphocytes, which are suspension cells, analysed by laser scanning cytometry and high content analysis.

This fluorescent approach allowed clear identification of binucleated cells and detection of MN. Highcontent analysis was developed to further automatically score MN within mono-, tri- and tetra-nucleated cells and to determine the nuclear division index and nuclear circularity values. Importantly, it allows for co-detection of other biomarkers of interest within a single lymphocyte, and further development of this capability is anticipated.

Curated from www.biotechniques.com

The whole blood cytotoxicity assay (WCA) is a cytotoxicity assay developed by incorporating high-throughput cell positioning technology with fluorescence microscopy and automated image processing. Here, we describe how lymphoma cells treated with an anti-CD20 antibody can be analyzed real-time in human whole blood to provide quantitative cellular cytotoxicity analysis.

Curated from www.jove.com

In this article, the authors showed how they have implemented image analysis and statistics on around 600 parameters on 3D cell cultures in 384-well plates on 44 human breast cancer cell lines. When we talk about big data, count…

We have developed a new image analysis platform to automatically profile 3D cell phenotypes with 598 parameters including morphology, topology, and texture parameters such as wavelet and image moments. As proof of concept, we analyzed mouse breast cancer cells (4T1 cells) in a 384-well plate format following exposure to a diverse set of compounds at different concentrations. The result showed concentration dependent phenotypic trajectories for different biologically active compounds that could be used to classify compounds based on their biological target. To demonstrate the wider applicability of our method, we analyzed the phenotypes of a collection of 44 human breast cancer cell lines cultured in 3D and showed that our method correctly distinguished basal-A, basal-B, luminal and ERBB2+ cell lines in a supervised nearest neighbor classification method.

Curated from www.plosone.org

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