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High-Content Imaging enables to automate microscopy experiments to acquire large amounts of image data distributed in 2D (large tiled areas, multipositions), in 3D (same, with optical sectioning), in time (multiposition time lapse) and in sample carriers enabling parallelization (e.g. multiwell plates).
High-content and High-Throughput Screening aim to acquire rich multidimensional information involving the study of biological activity upon treatment (e.g. drugs) and/or with multiple replicates of the same experiments, on fixed or living samples.
Many of our microscopes enable HCS/HTS at different levels.
Image Analysis is a critical part of HCS/HTS, and we use both commercial (e.g. NIS Elements) or open-source software to build custom workflows (e.g. with Fiji, Python, Matlab, cellProfiler, and more).
co-cultures under HCS
co-cultures under HCS
Example of organoid-like co-cultures in cancer research, cancer cells (green) and fibroblasts (red) in different culturing conditions imaged at high-content in multiwell plates for growth assay.
Samples by Elisa Rivas, Alex Calon (IMIM) at ScanR.
Smart Imaging in HCS
Smart Imaging in HCS
Feedback microscopy can be implemented to detect target of interest at low magnification (primary scan) and re-image them at high resolution.
For more details on an example implementation, check our paper on AutoScanJ, that include multiscale smart imaging on fixed and live samples.
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