Steve Pressé
@labpresse.bsky.social
📤 116
📥 79
📝 21
Musings about science, biophysics, inference, and occasionally Bach and Shostakovich
pinned post!
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
3 months ago
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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
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https://apply.interfolio.com/176489
4 days ago
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Lab Halloween fun before lab reception for Weiqing Xu’s departure to the lab of
@jonasries.bsky.social
We will miss you Weiqing!
5 days ago
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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...
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Tracing fluorescence tracking’s past, present, and future
Artificial intelligence and parallel computing could refine studies of the movement of single molecules inside cells.
https://www.aip.org/scilights/tracing-fluorescence-trackings-past-present-and-future
9 days ago
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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...
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ASU chemistry and physics professor elected to prestigious fellowship | ASU News
Steve Pressé, professor in Arizona State University’s School of Molecular Sciences and Department of Physics, has been elected as a 2025 American Physical Society Fellow for his leadership and excepti...
https://news.asu.edu/b/20251021-asu-chemistry-and-physics-professor-elected-prestigious-fellowship?%7b_src%7d=news-story
17 days ago
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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
27 days ago
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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 😊)
about 2 months ago
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Thanks to the CTBP for the wonderful invitation for a seminar at Rice! 🙏 Joining me are Tolya Kolomeisky and Oleg Igoshin.
about 2 months ago
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reposted by
Steve Pressé
Pedro Pessoa, PhD
2 months ago
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
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5
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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
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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...
http://arxiv.org/abs/2507.05599
3 months ago
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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
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REPOP: bacterial population quantification from plate counts
https://elifesciences.org/reviewed-preprints/107122#tab-content
3 months ago
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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
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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...
https://arxiv.org/abs/2506.05707
3 months ago
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reposted by
Steve Pressé
Pedro Pessoa, PhD
3 months ago
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...
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Mamba time series forecasting with uncertainty quantification
YouTube video by Xiaol.x
https://www.youtube.com/watch?v=3BNzkve1BrU
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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
3 months ago
0
16
6
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