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Found 10 papers, 2 papers with code
Cell Painting Gallery: an open resource for image-based profiling
Image-based or morphological profiling is a rapidly expanding field wherein cells are "profiled" by extracting hundreds to thousands of unbiased, quantitative features from images of cells that have been perturbed by genetic or chemical perturbations.
Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data
Together with the molecular knowledge of genes and proteins, biological images promise to significantly enhance the scientific understanding of complex cellular systems and to advance predictive and personalized therapeutic products for human health.
Reproducible image-based profiling with Pycytominer
Technological advances in high-throughput microscopy have facilitated the acquisition of cell images at a rapid pace, and data pipelines can now extract and process thousands of image-based features from microscopy images.
Defining the boundaries: challenges and advances in identifying cells in microscopy images
Segmentation, or the outlining of objects within images, is a critical step in the measurement and analysis of cells within microscopy images.
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging.
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Various strategies for label-scarce object detection have been explored by the computer vision research community.
Understanding metric-related pitfalls in image analysis validation
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice.
Metrics reloaded: Recommendations for image analysis validation
The framework was developed in a multi-stage Delphi process and is based on the novel concept of a problem fingerprint - a structured representation of the given problem that captures all aspects that are relevant for metric selection, from the domain interest to the properties of the target structure(s), data set and algorithm output.
CellProfiler Analyst 3.0: Accessible data exploration and machine learning for image analysis
Image-based experiments can yield many thousands of individual measurements describing each object of interest, such as cells in microscopy screens.
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
Segmenting the nuclei of cells in microscopy images is often the first step in the quantitative analysis of imaging data for biological and biomedical applications.
