151 citations · 278 across the 6 of their papers we have counts for
6 papers
Cell Painting Gallery: an open resource for image-based profiling
Erin Weisbart, Ankur Kumar, John Arevalo +3
Image-based or morphological profiling is a rapidly expanding field wherein cells are "profiled" by extracting hundreds to thousands of unbiased, quantitative features from images…
Reproducible image-based profiling with Pycytominer
Erik Serrano, Srinivas Niranj Chandrasekaran, Dave Bunten +25
Advances in high-throughput microscopy have enabled the rapid acquisition of large numbers of high-content microscopy images. Whether by deep learning or classical algorithms, imag…
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury +37
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…
Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images
Marzieh Haghighi, Mario C. Cruz, Erin Weisbart +9
Various strategies for label-scarce object detection have been explored by the computer vision research community. These strategies mainly rely on assumptions that are specific to…
CellProfiler plugins -- an easy image analysis platform integration for containers and Python tools
Erin Weisbart, Callum Tromans-Coia, Barbara Diaz-Rohrer +7
CellProfiler is a widely used software for creating reproducible, reusable image analysis workflows without needing to code. In addition to the >90 modules that make up the main Ce…
Distributed-Something: scripts to leverage AWS storage and computing for distributed workflows at scale
Erin Weisbart, Beth A. Cimini
Distributed-Something coordinates the distribution of any Dockerized workflow using on-demand computational infrastructure from Amazon Web Services to enable at-scale workflows whe…