Shuang Fu
shuangfu-shawn.bsky.social
Shuang Fu
@shuangfu-shawn.bsky.social
Reposted by Shuang Fu
We’re excited to share LiteLoc — a lightweight and scalable deep learning framework for high-throughput single-molecule localization microscopy, enabling analysis speed of >500 MB/s on 8× RTX 4090 GPUs without compromising accuracy. rdcu.be/eztp6
Scalable and lightweight deep learning for efficient high accuracy single-molecule localization microscopy
Nature Communications - This study presents LiteLoc, a lightweight and scalable AI model for efficient and accurate single molecule localization microscopy data analysis, bringing real-time...
rdcu.be
August 6, 2025 at 3:40 AM
Reposted by Shuang Fu
Some early attempts to show 3D SMLM data in #bigvolumebrowser :
4M points from @shuangfu-shawn.bsky.social re-analysis of our LLS-paint data (see recent retweet).
It can be overlaid with any volumetric data input.

@christlet.bsky.social are you still interested in Fiji SMLM renderer?
May 12, 2025 at 10:41 PM
A beautiful reconstruction of LLS-motor-PAINT dataset using LUNAR
April 17, 2025 at 2:51 AM
Recent LUNAR test on a high-density microtubule dataset 😀.
March 27, 2025 at 8:36 AM