Bioimage informatics

Bioimage informatics develops and applies computational methods to manage, analyze, and interpret images of biological systems, connecting image data to biological questions.

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Image segmentation: The partitioning of an image into regions or objects according to selected visual or semantic criteria. Segmentation identifies cells, tissues, and structures that later analyses can measure.
Microscopy: The study and practice of using instruments to observe objects too small to see unaided. Bioimage informatics depends on images produced by microscopy and related imaging methods.
High-content screening: A biological screening approach that uses automated microscopy and image analysis to measure many features in cells or tissues. It relies on computational pipelines to quantify thousands of experimental conditions.
ImageJ: An open-source image-processing program widely used in scientific research. Its 1997 release helped establish extensible, community-driven image analysis in biology.
Bioimage Archive: A public repository for storing and sharing biological imaging data. Shared datasets enable reuse, benchmarking, and validation of image-analysis methods.
Image registration: The alignment of two or more images into a shared coordinate system. Registration enables comparisons across time points, modalities, or specimens.
Digital image: A two-dimensional or multidimensional representation composed of discrete sampled values called pixels or voxels. Image data are the computational objects that bioimage methods store and analyze.
Digital pathology: The acquisition, management, and computational analysis of digitized pathology images. Bioimage methods quantify tissue architecture and cellular patterns in clinical specimens.
Open Microscopy Environment: A project and software ecosystem for managing and exchanging microscopy data. OME developed standards and tools addressing microscopy data interoperability.
FAIR data: Data managed to be findable, accessible, interoperable, and reusable. FAIR principles address persistent barriers to reusing biological images and metadata.