A Python package for efficiently aligning organismal taxonomic hierarchies using the Global Names Verifier - Imageomics/TaxonoPy

High-throughput phenotypic screens generate vast microscopy image datasets that push the limits of generative models due to their large dimensionality. Despite the growing popularity of general-purpos...

Imageomics Chain Reaction: A new spotlight series where one rising researcher lights the path to the next. Follow the chain, meet the minds shaping the future of Imageomics.

BeetlePalooza 2024, hosted by the Imageomics Institute at OSU, brought together a diverse group of biologists, ecologists, and computer scientists to develop and refine AI tools for beetle identificat...

A decentralized platform for biodiversity observations, built on the AT Protocol. Record what you see, keep what you create.

Imageomics, a new field of science, has made stunning progress in the past year and is on the verge of major discoveries about life on Earth, according to one of the founders of the discipline.Tanya B...

Every camera trap photo, satellite pass, and vacation snapshot captures more than a moment. Each one records how an organism looks, moves, and survives. A new scientific field called imageomics treats those pictures as data and trains machines to pull biological meaning from them. A new branch of biology The name follows a deliberate pattern. Genomics reads the genome, proteomics maps proteins, and connectomics charts neural wiring. Imageomics applies the same logic to visual traits, treating the image itself as a record of an organism’s biology. Researchers at The Ohio State University built the field on this foundation. In 2021, the National Science Foundation awarded the university $15 million to launch the Imageomics Institute, one of the first centers in its Harnessing the Data Revolution program. Tanya Berger-Wolf directs the institute and shapes its scientific agenda. She called the discipline ready for its first major discoveries during a February 2024 talk at the American Association for the Advancement of Science annual meeting. Building biology into the model Most image-recognition systems learn only to assign labels to pictures. Imageomics asks for something harder. The models must link what an animal looks like to the genes and evolutionary history that produced those...