¿Y si la clave para detectar el #Alzheimer años antes de que aparezcan los síntomas estuviera en cómo dormimos? DENTRO HILO 🧠💤🧵👇
f.mtr.cool
Hace unas semanas pasé por Revisión por Pares, el podcast de Manuel Goyanes, para hablar de trayectoria académica y aprendizajes. Os dejo el episodio por aquí, por si os apetece escucharlo: open.spotify.com/episode/2iqx... Gracias a Manuel por la invitación y a @uc3m.es por acompañarme en el camino.
Ingeniería y Salud: Charla con Arrate Muñoz Barrutia
Revisión por Pares: Historias de la Vida Académica · Episode
open.spotify.com
🔬 One more year! BioImage Computing has been accepted to @eccv.bsky.social 🎉 Show us your work at the intersection of computer vision, ML & biology! Check out our speaker lineup: @arratemunoz.bsky.social, @jakobtroidl.bsky.social & Juliette Griffié 👏 ⏳ Deadline: 13 July ℹ️ www.bioimagecomputing.com
BioImage Computing
a truly interdisciplinary workshop
bioimagecomputing.com
Super excited to share a project I’ve worked on since my Master’s thesis, what a journey!🚵 Finally out as a Nature Methods Stage 1 Registered Report preprint doi.org/10.6084/m9.f... We benchmark deep learning-based single-image super-resolution methods for microscopy imaging. Interested? Check out 🧵
Accuracy versus Perception: a Benchmark of Deep Learning Models for Single-Image Super-Resolution in Microscopy
Virtual super-resolution deep learning methods provide a powerful solution to overcome the physical and temporal constraints of microscopy imaging. Yet, assessing and choosing an ideal methodological strategy complicates their use in life sciences and creates a lack of trust in these methods. Here we propose an objective comparison of nine popular single-image super-resolution (SISR) models in a collection of publicly available microscopy datasets, including cell components like microtubules, endoplasmic reticulum, and actin, using confocal microscopy, SEM, SIM, SMLM and STED microscopy modalities for fixed and live-cell microscopy data. The proposed models will be assessed quantitatively with a collection of metrics in microscopy and computer vision, and qualitatively by experts in the field. The proposed models will be made accessible through open, user-friendly, containerised notebooks. This systematic assessment of SISR approaches will provide a more comprehensive understanding of these methods' performance and contribute to standardising SISR methods in microscopy.
doi.org
Warm congrats Esti!
Estibaliz Gómez de Mariscal, PhD@gomez-mariscal.bsky.social · 6mo agoBig news🥂I'll start my research group at NIMSB!🔥🎉Hard to describe how HAPPY+EXCITED I am about bringing new #AI #imagedriven biomedical research + growing together🌱I'm grateful to my supervisors,colleagues,collabs+mentors who inspired+encouraged me throughout 🤍
Excited to share our new paper (CVPR 2026 🚀): "MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy" which enables local predictions to use global context. Great work led by @albertdm.bsky.social & another fun collab w @gioelelamanno.bsky.social! @scadsai.bsky.social
Mastodon: the Command Center for Large-Scale Lineage-Tracing Microscopy Datasets https://www.biorxiv.org/content/10.64898/2025.12.10.693416v1
#EPFL has an open faculty position - tenure track or tenured!! - in AI driven biophysics. Deadline is Nov 15th. Please spread the word! www.epfl.ch/about/workin...
Assistant/associate Professor of AI-assisted Biophysics at the Ecole polytechnique fédérale de Lausanne (EPFL) and Group Leader at the Paul Scherrer Institute (PSI)
The School of Basic Sciences (Physics, Chemistry and Mathematics) at EPFL and the Paul Scherrer Institute (PSI) jointly seek to appoint a Tenure Track Assistant or tenured Associate Professor in AI-As...
epfl.ch
I just made an account and voted for this biology laboratory made of LEGO to "promote biological research and inspire more people into the world of biology". They need 10K votes. Reposting and/or voting below would be helpful. 🤗 beta.ideas.lego.com/product-idea...
Biological Laboratory | LEGO® Ideas
This is a two-floor realistic Biological Laboratory building. In this design, I try to tell stories about biologists, introduce biology concepts to general publ…
beta.ideas.lego.com
❗The official application call for our PhD position has already started: www.ehu.eus/es/web/ikerk... Since most of the application is in either Spanish or Basque, I have prepared a document in English 👇 drive.google.com/file/d/1q0mH... Looking forward to receiving applications! 🤩
Summary of the FPI 2025 PhD Call at UPV_EHU.pdf
drive.google.com
Ignacio Arganda-Carreras@iarganda.eurosky.social · 11mo ago📣 We’re hiring, please RT! Fully funded 4-year PhD position in our CVPD group at @informatikaehu.bsky.social! Research at the intersection of AI, deep learning & bioimage analysis. 🧠🔬 📅 Applications open Oct 6 (deadline: ~Oct 27) 📍 San Sebastian, Spain. 👉 cvpd.github.io/post/2025-09...
📣 We’re hiring, please RT! Fully funded 4-year PhD position in our CVPD group at @informatikaehu.bsky.social! Research at the intersection of AI, deep learning & bioimage analysis. 🧠🔬 📅 Applications open Oct 6 (deadline: ~Oct 27) 📍 San Sebastian, Spain. 👉 cvpd.github.io/post/2025-09...
📢 Open 4-year PhD Position in Deep Learning for Bioimage Analysis! | CVPD Research group
The Computer Vision and Pattern Discovery (CVPD) group at the University of the Basque Country (UPV/EHU) is offering a fully funded 4-year PhD position within the recently awarded project TOSBI: Towar...
cvpd.github.io
‼️ Raúl Rabadán será el nuevo director del CNIO tras la destitución de Maria Blasco
Raúl Rabadán será el nuevo director del CNIO tras la destitución de Maria Blasco
Catedrático en la Universidad de Columbia y experto en genómica del cáncer, Rabadán ha sido elegido por unanimidad; el pasado enero el patronato cesó a Blasco y al gerente en un proceso que convulsion...
eldiario.es
Our latest article is online @natcancer.nature.com describing the application of #nanotechnology in #immuno-oncology. A great effort led by Adam Grippin, our star Holman resident and soon to be Physician Scientist. @bettykimmdphd.bsky.social @mdanderson.bsky.social @eileenparkes.bsky.social
Nanotechnology for immuno-oncology - Nature Cancer
Kim and colleagues provide an overview of the current state of the art of nanomaterials and their application in immuno-oncology, discussing preclinical development and the clinical landscape.
nature.com
⛴️ BiaPy just reached version 3.6.1 💫 (latest release)! github.com/BiaPyX/BiaPy... ➡️ v3.6.1 came right after (the more dense) v3.6.0 to fix some small bugs 🐞 Let me tell you a bit about what's new 👇
Release Version 3.6.1 · BiaPyX/BiaPy
Minor: Disable painting matching instances by default as it takes a lot of time, i.e. TEST.MATCHING_STATS_THS_COLORED_IMG to [] (#135) Refine DA notebook Update notebooks to install BiaPy v3.6.0 ...
github.com
In the meantime, we have more than 46 pretrained models from ⛴️ BiaPy available now in the 🦒 Bioimage Model Zoo 🫶 @ai4life.bsky.social 🔗 Have a look at: bioimage.io#/models As usual, they are accesible from BiaPy's GUI 🖥️, Colab notebooks 📔 and our API 🤓
BioImage.IO - Model Zoo
BioImage Model Zoo - A community-driven, open resource for sharing standardized AI models for bioimage analysis
bioimage.io
🚀 Manual mask annotation slowing you down? 💡 SAMJ is a new ImageJ/Fiji plugin using Segment Anything (SAM) for fast, interactive segmentation — no GPU needed, one-click install, real-time results. 🔬 Perfect for large biomedical images. arxiv.org/abs/2506.02783 #AI #Bioimaging #ImageJ #OpenSource
@ai4life.bsky.social & @eu-openscreen.bsky.social link highlighted in the isciii eu infrastructures for health event
We released version 1.6 of micro_sam: - Improvements for automatic tracking. - A new experimental mode for object classification. - **New versions of the LM and EM models** The models fix artifacts in automatic segmentation, see old vs. new prediction and better 3D segmentation results due to it.
InterpolAI is an optical flow tool to restore and replace input images for enhanced 3D imaging. Here is a mouse lung where 6 out of 7 light-sheet images were missing or photobleached. We used InterpolAI to reconstruct. More about InterpolaAI here: www.nature.com/articles/s41...
A nice advance for imaging-based spatially resolved transcriptomics from the Weigert and La Manno labs. Spotiflow uses deep learning for subpixel-accurate spot detection in diverse 2D and 3D images. www.nature.com/articles/s41...
Spotiflow: accurate and efficient spot detection for fluorescence microscopy with deep stereographic flow regression - Nature Methods
Spotiflow uses deep learning for subpixel-accurate spot detection in diverse 2D and 3D images. The improved accuracy offered by Spotiflow enables improved biological insights in both iST and live imag...
nature.com
Delighted to share that I will start a five-year K. Albin Johansson Research Professorship next year. I am deeply honored to have been selected for this position. Many thanks to the Finnish Cancer Institute and the K. Albin Johansson Foundation 🙏 www.syopainstituutti.com/researcher-p...
Researcher Positions
Currently, the Finnish Cancer Institute has nine researcher positions funded by the Cancer Foundation Finland and the K. Albin Johansson Foundation. The Finnish Cancer Institute handles the selection ...
syopainstituutti.com
Segment any MRI, CTscan, histology, transcriptomic image using CODA using Prof. Kiemen's CODAvision. CODAvision enhances the usability of the CODA algorithm to automatically generating quantitative results and comprehensive reports. More here: www.biorxiv.org/content/10.1...
InterpolaAI, based on deep learning-based optical flow, restores and interpolates sparse image stacks. This first example is a stack of histological images of a human pancreatic duct. 6 out of 7 images were missing or defective, all now generated. Download here: www.nature.com/articles/s41...
Can you go from protein sequence to a generated image of protein localization? New work from the Uhler lab says yes, and it is generalizable to unseen proteins and more than one cell type. I'm excited for work moving us toward virtual cell models.
Nature Methods@natmethods.nature.com · last yr.PUPS - prediction of unseen proteins' subcellular localization - uses machine learning models to predict the localization of unseen proteins in unseen cell lines from sequence and cellular images. www.nature.com/articles/s41...
Inauguramos el Hospital Universitario de Melilla con 265 camas, cirugía robótica, resonancia, cámara hiperbárica, hemodinámica y UCI pediátrica. La mayor dotación de personal de la sanidad melillense: 1.100 profesionales que contarán con los medios y las condiciones que merecen.
My office for the day… Quite an honor I must say…
This work is part of the results from my sabbatical stay at Prof. Denis Wirtz’s lab at Johns Hopkins during the 2022–2023 academic year. Very grateful to have been part of this exciting collaboration—congrats to the team on the Nature Methods publication!
Denis Wirtz@deniswirtz.bsky.social · last yr.To fix input images in a stack for 3D imaging, use InterpolAI. InterpolAI removes tissue tears and stitching + photobleaching artifacts in stacks of ssTEM, MRI, light-sheet, or histological images (CODA). Read it here: www.nature.com/articles/s41... Download it here: github.com/sjoshi17jhu/...
Prou (ex-)supervisor & (always) mentor of @ai4life.bsky.social @egomezm.bsky.social Teresa Zulueta Coarasa; @danifranco93.bsky.social @cfusterbarcelo.bsky.social Carlos Garcia Lopez de Haro @uc3m @cienciauc3m
InterpolAI accurately generates synthetic images between real image pairs to help restore tissue damage and reduce stitching artifacts across different imaging modalities. Shows that deep learning can understand data to intelligently fill in the gaps. Scientific research, working for everyone.
Denis Wirtz@deniswirtz.bsky.social · last yr.Dream Police alert: InterpolAI for enhanced 3D imaging (CODA, MRI, EM, confocal). Read about and InterpolAI here: www.nature.com/articles/s41...