Vivek Sriram (Computer Science and Math), Lina Yang (Biostatistics), and Pablo Ortiz (BME) spent ten weeks working in close collaboration with the Department of Biostatistics and Bioinformatics implementing an image analysis pipeline for immunofluorescence microscopy images of developing mouse lungs.
Using the LungMAP image atlas (http://lungmap.net), the team developed an image segmentation pipeline to help researchers more effectively utilize open-access images of lungs in various developmental stages. The work of the Data+ team allows biologists and clinical researchers to quantify changes in lung structure during fetal development, and improve understanding of normal lung structure and function.
Article on LungMAP project https://biostat.duke.edu/news/data-wraps
- Cliburn Chan, Biostatistics and Bioinformatics
- Megan Neely, Biostatistics and Bioinformatics
- Robert Ravier, Ph.D. candidate, Mathematics
- Pablo Ortiz, Duke University Biomedical Engineering
- Lina Yang, Duke University Biostatistics
- Vivek Sriram, Duke University Computer Science, Mathematics
- All quantitative STEM