Ryan Lane

Image Analysis Scientist

https://www.arcadiascience.com/0000-0002-5887-2069 https://github.com/lanery https://scholar.google.com/citations?user=6VY0SXsAAAAJ&hl=en

All Pubs (3)Attributed Pubs (3)

Raman spectroscopy enables rapid and inexpensive exploration of biology

Prachee Avasthi, Brae M. Bigge, Ben Braverman, Tara Essock-Burns, Ryan Lane, David G. Mets, Austin H. Patton, and Ryan York

Published: May 31, 2024

To test its utility in analyzing biological samples, we built an open-source Raman spectrometer and collected spectra from chilis, beer, and algae. We could stratify samples, classify replicates, and link spectra with quantitative traits of beer (ABV) and chilis (perceived heat).

Connections

Supplements (1): Code and data - GitHub

Label-free neuroimaging in mice captures sensory activity in response to tactile stimuli and acute pain

Adair L. Borges, Seemay Chou, Ilya Kolb, Ryan Lane, David G. Mets, and Kira E. Poskanzer

Published: Jul 26, 2024

Sensory disorders are clinically common, debilitating conditions. But mouse behavioral models are often insufficient. We demonstrate that label-free, minimally-invasive brain imaging in mice could be a promising avenue for sensory research or drug discovery efforts.

Connections

Supplements (2): Code v1.0.1 - GitHub • Imaging data - Zenodo

A high-throughput imaging approach to track and quantify single-cell swimming

Tara Essock-Burns, Ryan Lane, and David G. Mets

Published: Nov 06, 2024

Live imaging of swimming cells can yield insight into an organism’s viability and responses to environmental stimuli. We developed a microscopy workflow and image analysis pipeline, SwimTracker, to track motility phenotypes from swimming cells in high throughput.

Connections

Supplements (2): Code v1.1 - GitHub • Data - BioImage Archive