Shuang Fu
@shuangfu-shawn.bsky.social
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reposted by
Shuang Fu
Yiming Li
3 months ago
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
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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...
https://rdcu.be/eztp6
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reposted by
Shuang Fu
Eugene Katrukha 🇺🇦
6 months ago
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?
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A beautiful reconstruction of LLS-motor-PAINT dataset using LUNAR
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7 months ago
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Recent LUNAR test on a high-density microtubule dataset 😀.
add a skeleton here at some point
8 months ago
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