Fast, Private, and Publish-Ready Spatial Transcriptomics App (Without Losing Your Mind)

In this episode, we journey through the real-life challenges of building interactive single cell spatial data visualizations for large projects. Lorena shares her recent adventure turning mountains of data into a web app using tools like Python, R, and the (tricky-to-pronounce) single-cell viewer Vitessce. She discusses the hurdles of image cropping, memory limits, Python-R crossovers, and why “just putting it online” isn’t as easy as it sounds—especially when it comes to privacy, deployment, and avoiding surprise cloud bills.If you’ve ever had a collaborator say, “Can you just build me an app I can play with?”, this episode is for you.

In the “Quick Sips” segment, Alex and Lorena share tips on automating code linting with GitHub Actions. Finally, in our “Brewing Up Answers” segment, we chat about managing people in academia vs. industry, and why it’s a very different ballgame on each side of the fence.

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