Neeloy Bose on Muck Rack

Neeloy Bose

Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Neeloy

Contact Neeloy, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

A Highly-Efficient, Scalable Pipeline for Fixed Feature Extraction from Large-Scale High-Content Imaging Screens

|
By Gabriel Comolet, Neeloy Bose, Jeff Winchell, alyssa Duren-Lubancki
| biorxiv.org
Abstract Leveraging artificial intelligence (AI) in image-based morphological profiling of cell populations is proving increasingly valuable for identifying diseased states and drug responses in high-content imaging (HCI) screens.
Open in Who Shared Issue with article?

ScaleFExSM: a lightweight and scalable method to extract fixed features from single cells in high-content imaging screens

|
By Bianca Migliori, Daniel Paull, Neeloy Bose
| biorxiv.org
New Results doi: https://doi.org/10.1101/2023.07.06.547985 Abstract High-content imaging (HCI) is a popular technique that leverages high throughput datasets to uncover phenotypes of cell populations in vitro. When the differences between populations (such as a healthy and disease state) are completely unknown, it is crucial to build very large HCI screens to account for individual (donor) variation, as well as having enough replicates to create a reliable model.
Open in Who Shared Issue with article?
See all 2 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified