7th IEEE Workshop on Computer Vision for Microscopy Image Analysis (CVMI) will be held in conjunction with CVPR 2022.

High-throughput microscopy enables researchers to acquire thousands of images automatically over a matter of hours. This makes it possible to conduct large-scale, image-based experiments for biological discovery. The main challenge and bottleneck in such experiments is the conversion of “big visual data” into interpretable information and hence discoveries. Visual analysis of large-scale image data is a daunting task. Cells need to be located and their phenotype (e.g., shape) described. The behaviors of cell components, cells, or groups of cells need to be analyzed. The cell lineage needs to be traced. Not only do computers have more “stamina” than human annotators for such tasks, they also perform analysis that is more reproducible and less subjective. The post-acquisition component of high-throughput microscopy experiments calls for effective and efficient computer vision techniques.

This workshop intends to draw more visibility and interest to this challenging yet fruitful field, and establish a platform to foster in-depth idea exchange and collaboration. Authors are invited to submit original and innovative papers. We aim for broad scope, topics of interest include but are not limited to:

Image acquisition
Image calibration
Image enhancement
Object detection
Image Segmentation
Image stitching and Registration
Event detection
Object tracking
Shape analysis
Texture analysis
Classification
3D image analysis
Multi-modality analysis
Image datasets and benchmarking

Accepted papers will be included in the CVPR proceedings, on IEEE Xplore, and on CVF website.

Paper Submission Deadline: March 20th 2022, 11:59:59 Pacific Time. Link to submission system: https://cmt3.research.microsoft.com/CVMIworkshop2022/Submission/Index

Workshop website: https://cvmi-workshop.github.io/index.html

Also check out the Cell Tracking with Mitosis Detection Dataset Challenge at https://motchallenge.net/data/CTMC-v1/.