Keith Cheveralls

Software engineer

San Francisco, CA kchev.io 0000-0002-4157-6087 https://github.com/keithchev

Streamlining microscopy datasets by enriching for in-focus frames

Feridun Mert Celebi, Keith Cheveralls, Seemay Chou, Tara Essock-Burns, and Galo Garcia III

Published: Nov 17, 2023

We distilled label-free microscopy data by comparing and implementing feature-detection algorithms. Sobel and Laplacian methods outperformed pixel intensity variance in accuracy.

Connections

Supplements (1): Code v1.0 - GitHub

Automated classification of time-course imaging data applied to nematode embryogenesis

Prachee Avasthi, Feridun Mert Celebi, Keith Cheveralls, Seemay Chou, Ilya Kolb, and David Q. Matus

Published: Dec 02, 2023

Machine learning is a powerful tool for classifying images in a time series, such as the developmental stages of embryos. We built a classifier using only bright-field microscopy images to infer nematode embryonic stages at high throughput.

Connections

Supplements (2): Code v1.0 - GitHub • Data- Time-course images of nematode embryos - Zenodo