3/16/2023 0 Comments Cellprofiler cell intensity![]() While the targeted approach to drug discovery is based on existing knowledge of a drug target or a specific hypothesis on its role in disease, the phenotypic profiling approach casts a wider net by capturing all the measurable features related to the cell’s phenotype. 3Įxamples of cells stained with dyes in a Cell Painting assay to detect key cellular components. Since it began work in 2013, Recursion already has four clinical-stage programs and 41 early discovery programs in its pipeline. Their machine learning algorithms enable them to uncover links that would otherwise have remained hidden. 2 Recursion’s workflow-integrating innovations in engineering, laboratory automation, and machine learning-enables it to quantify and processhundreds to thousands of phenotypic features. One example of a lab that is already succeeding with this approach is Recursion, a clinical-stage biotechnology company. High content screening (HCS)-based phenotypic profiling like cell painting is key to advancing drug discovery. It helps researchers identify novel drug candidates or targets that are capable of inducing phenotypes of interest in a more efficient and effective way, slashing the cost and time it takes to develop a drug. ![]() Phenotypic profiling is a strategy that uses rich image-based data to quantify cellular profiles, enabling, for example, systemic evaluation of cellular morphologies in response to drug exposure. To help improve their chances of success, the drug discovery community is increasingly embracing phenotypic profiling assays, combined with analysis powered by artificial intelligence (AI). Taking a phenotypic approach to drug discovery The more accurate the predictions on in vivo toxicity and potential adverse reactions, the more is the likelihood of success in clinical trials and getting drugs to market.Īngeline Lim, PhD, applications scientist and bioimaging specialist at Molecular Devices (left) and David Egan, PhD, co-founder and CEO, Core Life Analytics (right) are the authors of this article. When exposed to a drug, unexpected subcellular changes occur in vitro. This free, easy-to-use software enables biologists to comprehensively and quantitatively address many questions that previously would have required custom programming, thereby facilitating discovery in a variety of biological fields of study.Cells are complex. ![]() Small numbers of images can be processed automatically on a personal computer and hundreds of thousands can be analyzed using a computing cluster. The software automatically identifies objects in digital images, counts them, and records a full spectrum of measurements for each object, including location within the image, size, shape, color intensity, degree of correlation between colors, texture (smoothness), and number of neighbors. The applications demonstrated here include yeast colony counting and classifying, cell microarray annotation, yeast patch assays, mouse tumor quantification, wound healing assays, and tissue topology measurement. ![]() Here we describe the use of the open-source software, CellProfiler, to automatically identify and measure a variety of biological objects in images. Careful visual examination of biological samples is quite powerful, but many visual analysis tasks done in the laboratory are repetitive, tedious, and subjective. ![]()
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