Registration & Poster Submissions for Images to Knowledge (I2K) 2022 are...
Read Moreaka the "Laboratory for Optical and Computational Instrumentation (LOCI)"
The Eliceiri lab develops new biomedical imaging and analysis methods to understand the roles of cells in disease. Our projects include developing measures that can characterize the progression of cancer, building instruments to collect richer data than traditional methods, using machine learning to classify biomedical images, and developing open-source software for use by the image analysis community around the world. We are co-leaders in several major software development and education initiatives including the NIH P41 funded Center for Open Center for Open Bioimage Analysis (COBA), ImageJ/FIJI, Micro-Manager and the Scientific Community Image Forum. We are partners in several collaborative consortiums including the Bio-Formats project which originated in our lab and is now part of the Open Microscopy Environment (OME).
Our lab is administratively housed in the Center for Quantitative Cell Imaging which is an Office of the Vice Chancellor for Research and Graduate Education (VCRGE) center. We are also part of the departments of Medical Physics in the School of Medicine and Public Health and Biomedical Engineering in the School of Engineering. We are affiliate members of the UW Carbone Cancer Center, the McPherson Eye Research Institute and the Morgridge Institute for Research.
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External validation of a low fidelity dry-lab platform to enhance loupes surgical skills techniques for hypospadias repair
Published on: 06-01-2022
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HIV RGB: Automated Single-Cell Analysis of HIV-1 Rev-Dependent RNA Nuclear Export and Translation Using Image Processing in KNIME
Published on: 05-28-2022
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Meeting in the Middle: Towards Successful Multidisciplinary Bioimage Analysis Collaboration
Published on: 05-23-2022