Microscopy images of cells and tissues contain a wealth of phenotypic information that can be used to infer many biological properties of the underlying organism. Imaging is routinely used to observe the response of cells to compounds in drug discovery projects, to characterize the impact of genetic variants, and to diagnose disease and personalize treatments. However, extracting useful information from microscopy images can be challenging because of the complexity of the phenotypes of interest, the lack of ground truth manual annotations from experts, and the influence of noise and unwanted variation. Our mission is to make the phenotypic information of microscopy images readily accessible by leveraging machine learning and artificial intelligence methods. We develop novel computational techniques to advance the field of image-based profiling, and collaborate with various laboratories around the world to pursue image-based biological discoveries. Our research group aims to transform the way images are used in science.
Morgridge Institute for Research
Juan C. Caicedo Principal Investigator
Caicedo Lab / Biomedical Imaging
We harness the power of machine learning to illuminate the biological secrets hidden within microscopy images of cells and tissues.
Juan C. Caicedo
Principal Investigator
Dr. Juan Caicedo is an investigator in biomedical imaging at the Morgridge Institute for Research, and an assistant professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin–Madison. He is an affiliate of the Data Science Institute, the Computer Sciences Department, and the Biomedical Engineering Department. His research and expertise include machine learning, computer vision, and computational biology, and aims to combine these areas to power biological research in a meaningful way.
