Liangyi Chen
1.9K posts

Liangyi Chen
@Orangeroad2017
Microscopist, biophysicist, Super-resolution microscopy, insulin secretion, vesicle trafficking, mitochondria, organelles
Beijing Katılım Haziran 2017
526 Takip Edilen1.5K Takipçiler
Liangyi Chen retweetledi

[EVENT] Registrations are now open for the SFBS-2026
Join us in Bordeaux (Oct 14–21, 2026) for an advanced workshop and an international symposium
📆Workshop application deadline: May, 1
📆Symposium early bird registration deadline: June, 15
More info👉 france-bioimaging.org/news-events/ou…

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Liangyi Chen retweetledi

Liangyi Chen retweetledi

Are connectome-based network mapping methods and the >200 papers that have used it invalid?
New paper out in @NatureNeuro says YES. nature.com/articles/s4159…
I have concerns about this new paper's methods and conclusions, but am biased. What do others think?
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As a long-time devotee of both astronomy and microscopy, this is one of my favorite public lectures -- their histories have always been entwined. It really is astounding how human creativity and curiosity has taken us so far in so short a period of time.
2017 Alumni Seminar Day Keynote: All Things Great and Small - E. Betzig ... youtu.be/v82wG1iULZI?si… via @YouTube

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"Choosing problems is the primary determinant of what one accomplishes in science."
'Now What?' by Nobel Laureate John Hopfield should be required reading for aspiring scientists.
pni.princeton.edu/document/1136

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Liangyi Chen retweetledi

[STD] Sino-French BioImaging Symposium 2026
Organized between France & China (IRN BioImage), this event is dedicated to imaging for life sciences, with:
🔹An advanced thematic school
🔹A 3-day international symposium
📅When? 14-21, October, 2026
🔗Info: france-bioimaging.org/sfbs-sino-fren…

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This Nature Methods review is a very good day-1 read for anyone working at the interface of #AI and #superresolution microscopy. It doesn’t oversell AI, but clearly lays out where it genuinely helps and where naïve computer-vision transfers fail once imaging #physics, #photon #statistics, and reconstruction limits are ignored.
What I particularly appreciated is the recurring (even if implicit) emphasis on respecting image formation, noise models, PSFs, and physical constraints. That direction is exactly where meaningful progress will come from: physics-aware, constrained, and reliable AI, not black-box enhancement.
A solid starting point for the year, and a useful reference for where the field is converging.
Liangyi Chen@Orangeroad2017
It is superb to see our collabration review with Yang Zhang on AI and SR Imaging is out at Nature Methods on the last day of 2025! A good sign to look into the coming 2026! nature.com/articles/s4159…
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It is superb to see our collabration review with Yang Zhang on AI and SR Imaging is out at Nature Methods on the last day of 2025! A good sign to look into the coming 2026!
nature.com/articles/s4159…
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@AliHShaib @ZhixingChen2 We are so glad to have you here and hope to have you more often👋😀
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Liangyi Chen retweetledi

Just wrapped up an intensive visit to Peking University, focused on the National Biomedical Imaging Center (NBIC) and the broader 🇨🇳 Chinese life science ecosystem.
I was hosted by NBIC Deputy Director Prof. @Orangeroad2017 Chen Liangyi, co-host Prof. @ZhixingChen2, and NBIC Director Prof. Peace Chen. I also met with many PIs across NBIC, CLS, and the McGovern communities, with over 19 one-to-one discussions in total.
The meetings were focused and substantive. We discussed super-resolution microscopy, cryoEM, cryoET, probe and dye synthesis, and AI-solutions. These were technical conversations, probing assumptions, limits, and where integration across methods is actually needed.
What left a strong impression is how deliberately imaging, chemistry, computation, and biology are brought together. The structure here enables fast iteration and real cross-disciplinary depth, rather than parallel efforts.
Tomorrow, I head to Westlake University in Hangzhou to continue these discussions.
The pace, level of execution, and clarity of long-term thinking in imaging and quantitative life sciences here are hard to ignore.
Thank you to Professors Liangyi, Zhixing, Peace, He, Quanfeng, Jiahong, Harry, Bei, Chun, Jianning, Peng, Yuval, Aibin, Qiang, Pengli, Ming, Pingyong, all the colleagues I had the opportunity to meet with, Dr. Zhou, and Shirley, for hosting me.



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Liangyi Chen retweetledi

We are opening applications for our 2026 cohort of FutureHouse AI-for-Science Independent Postdoctoral Fellows! Apply our AI tools to specific problems in biology and biochemistry, in collaboration with world-leading academic labs:
--$125,000 annual stipend.
--Access to all tools developed by FutureHouse and Edison Scientific at scale, including Kosmos and several as-of-yet unreleased agents, with under-the-hood access to them to specialize them for your workflows.
--Receive dedicated software engineering support.
--1 year with possible 1 year extension.
Even more exceptional co-advisors than last year. Deadline for applications is February 13th, 2026. Link in next post.

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Liangyi Chen retweetledi

CaBLAM: a bioluminescent, genetically encoded calcium indicator for high-contrast imaging in cells and in vivo. @_theglowup @NathanShaner @BiolumHub @ADC_NeuroEnv
nature.com/articles/s4159…

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Liangyi Chen retweetledi

Ever wonder why we decide to build a new microscope and how we go about it? For the last lecture this semester of the graduate microscopy class Na, Gokul, and I teach at Cal, I spoke on our developing iSOAR microscope, a swept HILO design with adaptive optics and structured illumination. iSOAR is designed to produce the petabytes of high resolution 5D videos of subcellular dynamics in zebrafish we need to train the multimodal vision models at the heart of our Cell Observatory Initiative. We still have some work to do, but the scopes are coming along nicely.
It's an exciting time at the Observatory, so if you're experienced and looking for a job in zebrafish transgenics, ultra-high throughput image processing, or the development of 5D spatiotemporal foundation models for interpreting the insane dynamic complexity of living matter, we'd love to hear from you. (sup@berkeley.edu, betzige@janelia.hhmi.org).
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Liangyi Chen retweetledi

Join us this Thursday for @TeruelLab presentation on circadian rhythm and beta cell function:

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