screenshots of some of the sample implementations
Screenshot of smartmicroscopy.github.io/implementations.html, showing an overview of collected implementation examples
Want to get started with smart microscopy? ๐ง ๐ฌ
Check out our online repository with implementations from labs and industry -- lots of practical tips and links to sample code! smartmicroscopy.github.io/implementati...
More details in the โจupdated preprint!โจ
www.biorxiv.org/content/10.1...
01.10.2025 09:43 โ ๐ 21 ๐ 8 ๐ฌ 1 ๐ 0
A new Perspective discusses the challenges of sharing annotated image datasets and offers advice for improving bioimage annotation and reuse, particularly for AI applications.
www.nature.com/articles/s41...
17.09.2025 14:56 โ ๐ 8 ๐ 4 ๐ฌ 0 ๐ 0
๐ Our paper โMIFA: Metadata, Incentives, Formats and Accessibility guidelines to improve the reuse of AI datasets for bioimage analysisโ is out in @natmethods.nature.com!
Community-driven standards to make bioimage data AI-ready & reusable.
๐ www.nature.com/articles/s41... #AI #Bioimaging #FAIRdata
15.09.2025 09:57 โ ๐ 16 ๐ 8 ๐ฌ 1 ๐ 1
Figure legend: Categories and capabilities of smart microscopy systems integrating real-time image analysis and feedback control. Top: Smart microscopy workflows can be classified based on the driving logic behind decision-making: Event-driven (reacting to rare biological events), Outcome-driven (using feedback-control to steer biological systems toward a desired state), Quality-driven (optimizing signal quality or imaging metrics), and Information-driven (guided by models that predict which measurements/perturbations will yield the most informative data). Middle: Central feedback loop between the microscope and an image analysis system, which continuously
exchanges images and commands to guide acquisition dynamically. Bottom: Key control actions enabled by smart microscopy: adjusting imaging modality (e.g. switching from brightfield to fluorescence, adjusting sampling rate), repositioning the field of view (e.g. tracking, drift correction), optimizing acquisition settings (e.g. adaptive optics),
and performing photomanipulation (e.g. FRAP, ablation, optogenetics).
๐ฌ๐ง Our paper on smart microscopy & the issue of interoperability! www.biorxiv.org/content/10.1... LONG THREAD WARNING: Smart microscopy uses real-time image analysis to automatically guide the acquisition or perturbation of the sample (closed feedback-control loop). Many applications exist:
21.08.2025 14:21 โ ๐ 36 ๐ 23 ๐ฌ 2 ๐ 1
Also, in another project we are looking for a postdoc interested in spatial omics method development and applications in cell and tissue biology. Ideally suited for someone with prior hands-on experience with MERFISH and/or ISS.
For more information or to apply, please reach out via email
11.09.2025 20:04 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Norlin Lab is expanding!
Postdoctoral scholarship available:
Computational microscopy with applications in lensless imaging.
Preferably, you have already developed applications using ML/AI in microscopy, though this is not strictly required.
11.09.2025 20:04 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
The Mann Lab is a pioneer in mass spectrometry-based proteomics. Posts represent personal views from lab members and Matthias Mann
The fluorescent protein database:
https://www.fpbase.org
Account by @talleylambert.bsky.social
Computer scientist on a life-science mission. Working on pushing bioimage analysis, computer vision, AI/ML methods for the life sciences. Love running and pottery.
Chief Editor of Nature Biomedical Engineering. Ph.D. Previously at Nature Methods. @rita_strack on the place formerly known as twitter.
Chemical biologist @ Max Planck Institut for Medical Research in Heidelberg
Postdoc in the Pigino Lab @ HT. I enjoy long walks along microtubules and missing the sunset because Iโm behind a microscope. She/her. Eng/Ned/Deu.
Microscopist, Flow Cytometrist, Core Facilities, Birdwatching, Running, and Podcasting
Imaging scientist, light-sheet aficionado, #mesoSPIM developer, open source contributor. Building cool microscopes for cool people.
www.mesospim.org
www.github.com/nvladimus
Exploring frontiers of AI and its applications to science/engineering
Formerly: PhD/postdoc in Berkeley AI Research Lab + UC Berkeley Computational Imaging Lab
https://henrypinkard.github.io/
Smart Optics Lab Coordinator @ME, TU Delft | EMBL alumnus | Microscopist, who takes joy in beautiful images and photography.
NeuroCyto lab ๐คน๐ป Institute of NeuroPhysiopathology at CNRS & Aix-Marseille Universitรฉ ๐ง Neuronal cell biology ๐ฆ Super-resolution microscopy ๐ฌ Come for science ๐จ๐ปโ๐ฌ Stay for some cooking, sneakers and bike adventures ๐ฅ ๐๐ด
Professor of Physics (https://www.joerg-enderlein.de), Editor-in-Chief of Biophysical Reports (https://www.cell.com/biophysreports/home), Science & Arts, ๐ณ๏ธโ๐ | biophysics | single-molecule spectroscopy | super-resolution microscopy | nano-optics & plasmonics
Assistant Professor and CZI Imaging Scientist at South Dakota Mines | Nanoscience & Biomedical Engineering. Studying macrophages using pieces of sheet. Building #SnoutysaurusRex
scalable data analysis, modeling, AI, software design at HHMI Janelia
https://mastodon.social/@herrsaalfeld
Microscopist & Python developer at Harvard Med. Creator @fpbase.org
Artist and microscopist. MFA art + technology, but work in a neuro lab by day. Insects, neurons, electron microscopyโฆ follow me to see lots of plankton videosโฆ
jessholz.com
Leading the bioimage analysis facility at Human Technopole Milan. Formerly cell and developmental biologist at the NIH. Serial immigrant ๐ฆ๐บโก๏ธ๐ณ๐ฟโก๏ธ๐บ๐ธโก๏ธ๐ฎ๐น๐ช๐บ. Fan of dogs, open source tools, and gin.
Develops single-molecule imaging tools to gain detailed information about cellular nanoscale structures, dynamics, and molecular mechanisms.
https://gustavssonlab.rice.edu
Evolutionary cell biology / evolution of morphogenesis / animal origins / choanoflagellates @institutpasteur.bsky.social
https://research.pasteur.fr/en/team/evolutionary-cell-biology-and-evolution-of-morphogenesis/
Group leader @ Uni Gรถttingen for Computational Cell Analytics. Working on AI for biology and medicine with a focus on microscopy image analysis with deep learning.
https://user.informatik.uni-goettingen.de/~pape41/