The budding yeastSaccharomyces cerevisiaehas served as the pioneer model organism for virtually all genome-scale methods, including genome sequencing, DNA microarrays, gene deletion collections, and a variety of proteomic platforms. Yeast has also provided a test-bed for the development of systematic fluorescence-based imaging screens to enable the analysis of protein localization and abundance in vivo. Especially important has been the integration of high-throughput microscopy with automated image-processing methods, which has allowed researchers to overcome issues associated with manual image analysis and acquire unbiased, quantitative data. Here we provide an introduction to automated imaging in budding yeast.
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http://dx.doi.org/10.1101/pdb.top087593 | DOI Listing |
Data Brief
February 2025
Cell Death, Lysosomes and Artificial Intelligence Group, Department of Experimental Medical Science, Faculty of Medicine, Lund University, BMC D10, 22184 Lund, Sweden.
Many forms of bioimage analysis involve the detection of objects and their outlines. In the context of microscopy-based high-throughput drug and genomic screening and even in smaller scale microscopy experiments, the objects that most often need to be detected are cells. In order to develop and benchmark algorithms and neural networks that can perform this task, high-quality datasets with annotated cell outlines are needed.
View Article and Find Full Text PDFCells
December 2024
Research Center for Advanced Science and Technology, University of Tokyo, Tokyo 153-8904, Japan.
Imaging flow cytometry is a technology that performs microscopy image analysis of cells within flow cytometry and allows high-throughput, high-content cell analysis based on their intracellular molecular distribution and/or cellular morphology. While the technology has been available for a couple of decades, it has recently gained significant attention as technical limitations for higher throughput, sorting capability, and additional imaging dimensions have been overcome with various approaches. These evolutions have enabled imaging flow cytometry to offer a variety of solutions for life science and medicine that are not possible with conventional flow cytometry or microscopy-based screening.
View Article and Find Full Text PDFEBioMedicine
January 2025
CeMM Research Centre for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria; Centre for Physiology and Pharmacology, Medical University of Vienna; Vienna, Austria. Electronic address:
Background: High content imaging-based functional precision medicine approaches have been developed and successfully applied in the field of haemato-oncology. For rheumatoid arthritis (RA), treatment selection is still based on a trial-and-error principle, and biomarkers for patient stratification and drug response prediction are needed.
Methods: A high content, high throughput microscopy-based phenotyping pipeline for peripheral blood mononuclear cells (PBMCs) was developed, allowing for the quantification of cell type frequencies, cell type specific morphology and intercellular interactions from patients with RA (n = 65) and healthy controls (HC, n = 33).
Nat Methods
December 2024
Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Modern quantitative image analysis techniques have enabled high-throughput, high-content imaging experiments. Image-based profiling leverages the rich information in images to identify similarities or differences among biological samples, rather than measuring a few features, as in high-content screening. Here, we review a decade of advancements and applications of Cell Painting, a microscopy-based cell-labeling assay aiming to capture a cell's state, introduced in 2013 to optimize and standardize image-based profiling.
View Article and Find Full Text PDFFungal Genet Biol
November 2024
Manchester Fungal Infection Group, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Core Technology Facility, Grafton Street, Manchester M13 9NT, UK. Electronic address:
Germination is the fundamental process whereby fungi transition from the dormant and stress resistant spores into actively replicating cells such as hyphae. Germination is essential for fungal colonization of new environments and pathogenesis, yet this differentiation process remains relatively poorly understood. For filamentous fungi, the study of germination has been limited by the lack of high-throughput, temporal, low cost, and easy-to-use methods of quantifying germination.
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