Daniel Franco-Barranco

@danifranco93.bsky.social

Postdoc in Albert Cardona's lab at MRC LMB

🎉 Big news: our paper "Representation matters" just got accepted as a Registered Report (Stage 1) in Nature Methods! 🧬 We're building the first rigorous, preregistered benchmark of instance segmentation representations in bioimage analysis. 🧵👇 (1/3)

Examples of intermediate representations used in bottom-up instance segmentation for bioimage analysis. Shown are representative pixel- or voxel-level targets derived from instance annotations, including binary feature maps (for example, foreground, contours, centroids, and skeletons), distance-based representations (for example, horizontal/vertical offsets, radial distances, distance to boundary, and distance to center), and affinity-based representations. Here, neighbor affinities denote local connectivity predictions indicating whether adjacent pixels or voxels belong to the same object. The rows show illustrative examples from different datasets and are not intended to imply a sequential workflow or a one-to-one correspondence between representations. In the benchmarked pipelines, such intermediate
representations are subsequently converted into final object instances by downstream grouping or post-processing procedures such as watershed, clustering, or graph partitioning.

🚀 Excited to share our new work in Scientific Reports! 🧠🔬 “Automated segmentation of neurons and spinal cord structures in immunofluorescence images using SpineDL” Happy to have contributed as co-first author together with Pablo Ruiz-Amezcua. 🔗https://doi.org/10.1038/s41598-026-57519-w 🧵👇

Looking for a PhD in AI & bioimage analysis? 🤠This is basically the ‘boss level’ of opportunities: cutting-edge research + a mentor you’d actually want to have coffee with. Don’t miss it 👇

Ignacio Arganda-Carreras@iarganda.eurosky.social · 10mo 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...

💬 After lunch, we’re back with the AI4Life Community: tool builders, research infrastructures, and industry voices. Community tools like @biapyx.bsky.social and SpotMAX show how AI4Life partners are building bridges between developers and end users.

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🆕 Did you experience troubles ⚠️ while installing BiaPy in our Google Colab notebooks? We did too! This is due to some updates in the default libraries of Colab. As a temporary solution, we have now included a new cell in the notebooks to reinstall the conflicting libraries 👇

Screenshot of BiaPy notebook showing the installation section. The first part of section reads "Play to reinstall Colab libraries so they are compatible wiht BiaPy. ⚠️ Wait until this cell is fully executed to run the next one ⚠️ This will make the notebook restart. Do not worry and continue executing the next cell once this one is finished."

Discover the key to unlocking impactful scientific contributions in the world of machine learning! 🤖📈 This tutorial aims to increase the quality of scientific contributions using reproducible methods, appropriate validation techniques, and better code quality. 🧪

Discover the key to unlocking impactful scientific contributions in the world of machine learning! 🤖📈

Making models and data available increases the visibility of work and enables easier collaboration on future work.

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Los tuits con bulos sobre salud tienen mucho más alcance que los científicos porque sus seguidores son mucho más activos y fanáticos. Así que si veis información interesante y de calidad: compartid y dad like. Es otra forma de luchar contra ellos.