Tag Archives: Scientific Software

Beyond the 2D Bounding Box: Why Bioimage Deep Learning Is a Completely Different Beast and How BiaPy Tames It

By | August 24, 2026
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https://github.com/lynchaos/biapy-hub https://lynchaos-biapy-hub-app-hlcmfj.streamlit.app/ If you have spent your machine learning career optimizing ResNets or YOLO on ImageNet and COCO, here is an inconvenient truth: standard computer vision has spoiled you. In standard computer vision, a batch is usually an RGB triplet where . The pixels are isotropic, the spatial coordinates are Euclidean, the lighting is roughly… Read More: Beyond the 2D Bounding Box: Why Bioimage Deep Learning Is… »

Building a fake microscope: simulating a yeast wet mount

By | August 1, 2026
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Repository: github.com/lynchaos/generative-microscopy Why this sketch I wanted to find out whether I could make something that genuinely looked like microscopy footage. Not cells bouncing around a canvas, but Saccharomyces cerevisiae behaving the way it actually behaves under a coverslip, seen through real glass and real light. The sketch began life as a generic n-body attraction… Read More: Building a fake microscope: simulating a yeast wet mount »

I Built a Single-Cell RNA-seq Pipeline That Writes Its Own Report

By | June 7, 2026
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TIL-Scope

Single-cell RNA sequencing is one of those techniques that generates a huge amount of data and then demands a huge amount of effort to interpret it. You run the sequencer, get a matrix of 20,000 genes by several thousand cells, and then spend the next several days (or weeks) figuring out what’s in there. I… Read More: I Built a Single-Cell RNA-seq Pipeline That Writes Its Own… »

Building ML Tools Scientists Will Actually Use

By | January 25, 2026
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The Gap Between Models and Tools I’ve seen a lot of impressive ML models in biopharma that never get used. Not because the science is wrong, but because the tool doesn’t fit into anyone’s workflow. The model might be published in Nature Methods with beautiful receiver operating characteristic curves, but if a discovery scientist can’t… Read More: Building ML Tools Scientists Will Actually Use »