Lee Lab retweeted
🔬🧠 Our paper on smart microscopy & the issue of interoperability! biorxiv.org/content/10.1101/… LONG THREAD WARNING: Smart microscopy uses real-time image analysis to automatically guide the acquisition or perturbation (closed feedback-control loop). Many applications exist:
Lee Lab retweeted
Why would anyone want to be a scientist?
Check out our new Essay from Martin Schwartz: journals.biologists.com/jcs/…

ALT Screenshot of Essay from Martin Schwartz on 'Why would anyone want to be a scientist'. An anniversary article from The Company of Biologists published in Journal of Cell Science. The first few lines are: It is difficult to fathom why anyone intelligent enough to be a scientist would actually choose to be one. Doing good science requires the utmost exertion of body, mind and spirit, yet is consistently filled with failure and rejection. But, strange even to myself, I not only don't question the unfavorable risk-to-reward ratio but consider myself astonishingly lucky to be a scientist. There are three fundamental pleasures that have sustained me through 50 years of this madness.
Pleased to share that a SLM can achieve multiple FRAP to HILO to TIRF. biorxiv.org/content/10.1101/… (to appear in Opt Exp opg.optica.org/oe/home.cfm). Great work done by @aviupadhya and Daniel linkedin.com/in/daniel-lim-7… from the team.
Lee Lab retweeted
Blebbisomes! They do more than in this paper! More coming soon! #CellBiology
nature.com/articles/s41556-0…
Lee Lab retweeted
Fast, flexible, learning-free organoid quantification and tracking with OrganoSeg2
Cameron J. Wells, Najwa Labban, Shayna L. Showalter, Roza K. Przanowska, Kevin Janes
doi.org/10.1101/2025.08.13.6…
Lee Lab retweeted
Hawkins, Fernandez-Gonzalez et al. @UofT introduce ReSCU-Nets, recurrent neural networks for integrated segmentation and tracking of three-dimensional #microscopy images. hubs.la/Q03C7v1_0
Lee Lab retweeted
📢 PRFluids Editors' suggestion: When coughing or sneezing, mucus forms bag-like structures that break into droplets. Experiments and simulations show that viscoelasticity makes these bags larger and thinner, which reduces the droplet size upon rupture.
go.aps.org/3UmUJEs
Lee Lab retweeted
3D fibrin gel-generated mechanical signalling allows robust expansion of stem-like CAR T cells within 4-5 days.
Mechanical signaling via β2 integrin decouples T cell proliferation and differentiation for generating stem cell-like CAR T cells: Immunity cell.com/immunity/fulltext/S…
Lee Lab retweeted
Replying to @focalplane_jcs
@focalplane_jcs are looking for ECRs to speak in their mini-symposium, run together with the popular membrane trafficking webinar series organised by
@Fran_Bottanelli @felixmendu & @ishier_raote.
focalplane.biologists.com/20…
Apply by 24 August
Lee Lab retweeted
ROCK inhibitors #Fasudil #Belumosudil suppresses 🐭#SubretinalFibrosis with laser-induced choroidal neovascularization
Cool #ImagingMassCytometry 25 antibodies with metal isotopes for single-cell ocular pathology🤠
@researchsquare 2025
researchsquare.com/article/r…
Lee Lab retweeted
🎉 We are excited to announce the 'Consortium for the Equations of Life and Living-Systems' (CELL), an open collective dedicated to building the rigorous mathematical core that biology needs. The principles are based on #OpenScience. We will publish the blueprint soon.
Please follow here for further announcements and logistics: xitter.cf/CellBioSF
For every generation, there is a frontier. In the last century, physics gave us the equations for the cosmos. In this century, we will write the equations for life.
This is the great scientific challenge of our time. While biological data grows exponentially, our ability to predict the behavior of living systems lags behind. The gap isn't a lack of data; it's a lack of unifying theory.
We have published a teaser that introduces the concept of “Mathematical Organisms,” outlines the eight universal operator families, and shows how a rigorous algebra can turn biology’s raw data into predictive equations.
We are looking for community leaders, leading experts in mathematical biology, biophysics, computational biology and life sciences to help grow the consortium. If this mission resonates with you, I invite you to read the full post and reach out.
Memberships are free for now. We shall meet soon in San Francisco.
Read Article: medium.com/mathematical-orga…
#MathematicalBiology #Biophysics #ComputationalBiology #AI #Innovation
Lee Lab retweeted
For those interested in the role of cancer-associated fibroblasts in the tumor microenvironment, please check out our review focused on recent discoveries related to CAF biology in the context of immunotherapy, metabolism, and extracellular vesicles: authors.elsevier.com/c/1lR1I…
Lee Lab retweeted
Following on from their successful meeting in 2023, @J_Cell_Sci are delighted to announce a second iteration of the Imaging Cell Dynamics meeting to be held in 2026. Find out more and sign up for registration and abstract updates at
biologists.com/meetings/jcsi…
#JCSimaging
Lee Lab retweeted
Flow visualization often relies on synthetic particles like glass microbeads, but biodegradable starch particles from plants offer a safer, sustainable, and cost-effective alternative that has been successfully tested with foils, jellyfish, & brine shrimp!
go.aps.org/45e0RUA
Lee Lab retweeted
Organisms often swim through inhomogeneous environments, such as viscoelastic fluids, where gradients in viscosity and elasticity may arise.
A new Letter shows that spatial variations in fluid relaxation time induce durotactic behavior in active particles.
go.aps.org/4lPBGyI
Lee Lab retweeted
A simple flow of gas over water may have helped kickstart life on early Earth.
Research shows how evaporation and fluid flow in a narrow channel can drive isothermal DNA replication, offering a plausible, low-temp setting for early molecular evolution.
elifesciences.org/articles/1…
Lee Lab retweeted
4.13/ However, in practice most modes would get very little use if one could not switch effortlessly between them. Indeed, the speed of mode switching in MOSAIC enables correlative imaging of the same specimen across multiple modes during a single dynamic times series, something few other microscopes can boast:
Lee Lab retweeted
Finally here! Our preprint on the MOSAIC, a multimodal adaptive optical microscope enabling non‑invasive in‑vivo imaging from molecules to organisms, is out.
biorxiv.org/content/10.1101/…
@Eric_Betzig @legant_lab
Lee Lab retweeted
One month left to apply for a funded early-career researcher place at our Workshop 'Macro to Micro: Quantitative Plant Imaging Across Scales' organised by Mark Fricker, Alexander Johnson, Joseph McKenna and Markéta Šámalová
biologists.com/workshops/feb…
#BiologistsWorkshops
Lee Lab retweeted
Sugimura, K., Lenne, P. F., & Graner, F. (2016). Measuring forces and stresses in situ in living tissues. Development, #EpithelialMechanicsReview doi.org/10.1242/dev.119776


























