Miguel Ibarra

@miguelib.bsky.social

🇲🇽 PhD. Candidate in Schapirolab at Uni Heidelberg. Deep leaning, computer vision, spatial omics and neighborhood analysis. Photography, sci-fi, music. Bachelor: @LCGUNAM masters: @UniBonn

📢 ¡Atención estudiantes de licenciatura! ¿Vives en un país en desarrollo ("low- and middle-income country) como México o muchos otros en Latinoamérica? ¡El premio Sanger está abierto! 👩🏽‍🔬🦠🧪🧫 Participa para ganar una #estancia de #investigación con #beca completa: www.sanger.ac.uk/about/the-sa...

The Sanger Prize Competition 2025

Sanger Prize competiton 2025 for undergraduates interested in genomics, who are from low- and middle-income countries

sanger.ac.uk

This is a great demonstration for anyone who does visual data analysis. There are 12 black dots – but you'll have trouble seeing more than one or two at a time. The human visual system is not an especially reliable way to process images or extract features from out-of-the-ordinary visual fields. 🧪☀️

An optical illusion "hides" 12 black dots in a grid of grey lines.  Astonishingly, it is very difficult to see more than one of them at a time.

DeepCellTypes from Van Valen Lab, a new language-informed vision model, leverages the power of AI to accurately identify cell types in spatial proteomics data across diverse datasets and imaging platforms. 🧪https://www.biorxiv.org/content/10.1101/2024.11.02.621624v2.full.pdf+html

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People potentially interested in a career in academic research are increasingly aware of the precarious contract situations and poor long-term career prospects in academia (seeimg also the situation of older postdocs) and choose alternative routes.