The new 50% US tariffs imposed by the Trump administration affect ~ $20B imported from 🇨🇦, which translates to ~ 5.2% of U.S. goods imported from 🇨🇦 Straight out the academic handbook: not picking one’s battles and ruining one’s reputation over a 2.6% net change.

Good morning from Arizona (Echinopsis candicans)

Our recent PNAS and Nature Communications papers were recently featured in ASU News. Check it out!! news.asu.edu/20260701-sci... A testament to our great team. #ASU #PNAS #NatureCommunications #Biophysics #Bayesian

ASU scientists unveil new methods to extract reliable truth from imperfect data | ASU News

Scientists at Arizona State University are advancing how they interpret complex, imperfect data — challenging long-standing assumptions in fields ranging from imaging to cellular biology. In two paper...

news.asu.edu

🚀 Major Announcement I am honored to announce my new role as Director of the Center for Single Molecule Biophysics in ASU Biodesign Institute. biodesign.asu.edu/single-molec... #ArtificialIntelligence #BiomedicalResearch #Biophysics #PrecisionMedicine

Center for Single Molecule Biophysics | ASU Biodesign Institute

The Biodesign Center for Single Molecule Biophysics allows researchers to study the physical processes on which life is based using cells and tissue.

biodesign.asu.edu

New preprint “𝗦𝘁𝗼𝗰𝗵𝗮𝘀𝘁𝗶𝗰 𝗰𝗼𝗹𝗼𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗵𝗼𝘀𝘁-𝘁𝗼-𝗵𝗼𝘀𝘁 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝘀𝗵𝗮𝗽𝗲 𝗴𝘂𝘁 𝗯𝗮𝗰𝘁𝗲𝗿𝗶𝗮𝗹 𝘃𝗮𝗿𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆.” www.biorxiv.org/content/10.6... Using C. elegans as host, we find that bacterial predators (bdellovibrio) act through suppression of host to host transmission of gut-expelled prey

From widefield to confocal tracking and from single-spot to photon-array detectors, we chart the move beyond localization–linking toward integrative methods for crowded, superresolved tracking. @labpresse.bsky.social Learn more 👇 https://aippub.org/4qmTTFS

Help!!! We're working on a Bayesian approach for decoding MERFISH images in 3D, and we’re trying to identify an accessible MERFISH dataset that’s “truly volumetric” in the imaging sense. Even a pointer to the right paper, repository, or person to ask would be helpful. Thanks so much!

When is it ok to invoke a small Reynolds number approximation in finite temperature fluids? For spatially correlated fluids, curiously the answer is…never? 🧐 arxiv.org/html/2601.05... #fluids #fluidphysics

It’s been 30 yrs since Zwanzig’s “non-eq stat mech” As written, it has solidified the notion that theory develops models, and MD (perhaps) should be left to parametrize. Maybe it’s time to re-pitch the work using functional integrals & tie this formulation to likelihoods :)

Really interesting research showing that while ultra-specialization in a single discipline might lead to better results early in one’s career, multi-discipline training and practice pays off big time in the long run. This applies to a range of professions from scientists to athletes and more

Recent discoveries on the acquisition of the highest levels of human performance

Scientists have long debated the origins of exceptional human achievements. This literature review summarizes recent evidence from multiple domains on the acquisition of world-class performance. We re...

science.org

A bit of an emotional pic. A Silbey lab reunion of sorts in Honolulu. L2R: ⁦‪@LabPresse‬⁩, Jaeyoung Sung, Yuen-Chung Cheng, YoonJoon Jung, Alex Tkachenko. Haven’t seen some people in ~20 yrs 😢

Happy to be @acs.org #pacifichem with L2R Banu Ozkan, Jaeyoung Sung, Matthias Heyden, and @labpresse.bsky.social for our joint @arizonastateuni.bsky.social Center for Biological Physics - Chung Ang GCSC symposium. Especially happy about Mai Tai’s 🍹

Our latest JChemPhys selected as highlight. Our title communicates it all :) “A cautious user’s guide in applying HMMs to physical systems” pubs.aip.org/aip/jcp/arti...

A cautious user’s guide in applying HMMs to physical systems

Nature, as far as we know, evolves continuously through space and time. Yet, the ubiquitous hidden Markov model (HMM)—originally developed for discrete time and

pubs.aip.org

ASU Physics is searching for a new Chair. If interested, please apply. Feel free to contact me with any questions. We are seeking, first and foremost, a leader & world-class scientist with a strong research record apply.interfolio.com/176489 #asu #ASUResearch

Lab Halloween fun before lab reception for Weiqing Xu’s departure to the lab of @jonasries.bsky.social We will miss you Weiqing!

Tracking has always been at the ❤️ of the scientific method, from planetary motion to single particles. Weiqing’s thesis intro on tracking was so beautiful we turned it into a perspective in JCP who then selected it as a #Scilight. Take a look! 😊 www.aip.org/scilights/tr...

Tracing fluorescence tracking’s past, present, and future

Artificial intelligence and parallel computing could refine studies of the movement of single molecules inside cells.

aip.org

News story our APS fellowship. A testament to the great people we work with (and the unwavering rigor of Bayesian approaches, impervious to hype) 😊 🙏 news.asu.edu/b/20251021-a...

It’s an Honor to be named 2025 @apsphysics.bsky.social Fellow. 🙏 our lab members and collaborators. Citation: “For pioneering contributions to Bayesian method development in biological physics, particularly […] to imaging and single-molecule experiments.  #APSFellow

The journey continues. UT Austin and Oden tomorrow and Friday. Here with Dima Makarov :) (Discussing Bach, Richter, Gould, Yuja Wang, and maybe some single molecule 😊)

Thanks to the CTBP for the wonderful invitation for a seminar at Rice! 🙏 Joining me are Tolya Kolomeisky and Oleg Igoshin.

Hello everyone, Tomorrow I’ll be giving a chalk talk on our new eLife: “REPOP: bacterial population quantification from plate counts” elifesciences.org/reviewed-pre... Looking forward to seeing you!! #eLife #datascience #biophysics #bioinformatics #Bayesian #REPOP

Can we learn motion models from post-processed tracks? 🧐 Not really 😢 Emission noise accounts for ~99% of the likelihood. TLDR: What you think is anomalous diffusion… might just be noise. 🤷‍♂️🤷‍♂️🤷‍♂️🤷‍♂️ 🔗 Read more in our latest preprint: arxiv.org/abs/2507.05599 #Biophysics

How Easy Is It to Learn Motion Models from Widefield Fluorescence Single Particle Tracks?

Motion models (i.e., transition probability densities) are often deduced from fluorescence widefield tracking experiments by analyzing single-particle trajectories post-processed from data. This analy...

arxiv.org

Hello all, If you do #PlateCounting, you may want to take a look at our new eLife @elife.bsky.social If you don't, I still encourage you to join for an interesting discussion. Follow the thread 🧵 elifesciences.org/reviewed-pre... #Microbiology #DataScience #PyTorch #QuantitativeBiology #REPOP

Have you ever applied a Hidden Markov Model (HMM)? Does the results seems contradictory? If so, you are going to love our new preprint: arxiv.org/abs/2506.05707

A cautious user's guide in applying HMMs to physical systems

Nature, as far as we know, evolves continuously through space and time. Yet the ubiquitous hidden Markov model (HMM)--originally developed for discrete time and space analysis in natural language proc...

arxiv.org

So… I was googling myself and made quite a discovery 🎧 There's an AI-generated podcast of my #TimeSeriesForecasting paper 🤔🤔 www.youtube.com/watch?v=3BNz... Not sure whether to feel flattered, creeped out, or alarmed. That is the future I guess 🤷‍♂️🤷‍♂️ To read the full paper: doi.org/10.1088/2632...

Mamba time series forecasting with uncertainty quantification

YouTube video by Xiaol.x

youtube.com

The Pressé Lab is happy to join the #biophysics #imaging & #singlemolecule scientific communities here. Hopefully high SNR messaging from this account about low SNR data :) #science #machinelearning #datamodeling