Sreeparna Pradhan
@sreeparnap.bsky.social
K. Lisa Yang Brain-Body Center Postdoctoral Fellow at Steve Flavell's Lab @Picower Inst, MIT | PhD from Michael Hendricks' Lab @IPN, McGill Univ | Animal behavior | Neuroscience | Open science
Congratulations, Troy!🥳
November 5, 2025 at 3:24 PM
Congratulations, Troy!🥳
Reminds me of that time we had mice cage water drip over our microscope during the holidays @michaelhendricks.bsky.social 🫠
October 24, 2025 at 1:48 PM
Reminds me of that time we had mice cage water drip over our microscope during the holidays @michaelhendricks.bsky.social 🫠
Congratulations Philipp!🎉
Looking forward to reading this!
Looking forward to reading this!
October 16, 2025 at 11:55 AM
Congratulations Philipp!🎉
Looking forward to reading this!
Looking forward to reading this!
Congratulations! Very cool work!
October 1, 2025 at 2:43 AM
Congratulations! Very cool work!
Congratulations Surojit! Looking forward to reading this 😊
September 24, 2025 at 9:00 PM
Congratulations Surojit! Looking forward to reading this 😊
So happy for you! This is truly a special office 😊
September 10, 2025 at 1:43 AM
So happy for you! This is truly a special office 😊
Looking forward to reading! Congrats Anna, Philipp, and other authors 🎉
August 21, 2025 at 7:13 PM
Looking forward to reading! Congrats Anna, Philipp, and other authors 🎉
Reposted by Sreeparna Pradhan
The pipeline is hardware-agnostic, scales to system capabilities, and will improve along with the underlying foundation models. Very little fine tuning is required to tailor it to a large range of use cases.
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Large vision model framework for automated C. elegans analysis: From static morphometry to dynamic neural activity
Quantitative phenotyping of Caenorhabditis elegans is essential across numerous fields, yet data extraction remains a significant analytical bottleneck. Traditional segmentation methods, typically rel...
www.biorxiv.org
August 20, 2025 at 4:58 PM
The pipeline is hardware-agnostic, scales to system capabilities, and will improve along with the underlying foundation models. Very little fine tuning is required to tailor it to a large range of use cases.
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
Amazing! Looking forward to reading this.
Congratulations Lilly!🥳🎉
Congratulations Lilly!🥳🎉
August 20, 2025 at 5:04 PM
Amazing! Looking forward to reading this.
Congratulations Lilly!🥳🎉
Congratulations Lilly!🥳🎉
Congratulations!🎉
August 12, 2025 at 4:09 PM
Congratulations!🎉