DeepSpot

A luminous blue tunnel with digital numbers creating a futuristic, sci-fi ambiance.

Kalin Klonchev – the winner of a competition for AI based data analysis from Broad in 2024 had also created a tool called DeepSpot. Worth looking at for spot analysis of H&E sections by converting a full H&E slide pictures to “spots” which are analyzed.

Some good links:

DeepSpot paper: https://www.medrxiv.org/content/10.1101/2025.02.09.25321567v1

DeepSpot GitHub repository: https://github.com/ratschlab/DeepSpot

DeepSpot2cell: for analysis of single cell data: https://www.biorxiv.org/content/10.1101/2025.09.23.678121v1

Similar Posts

  • |

    Virtual cell

    Hani Goodrazi – Arc institute has been working on virtual cell. Drugs fail due to overfit experimental models, You need screen drugs with better models of human biology. Geneva is platfrom that brings tumor models into perturbation model – that is a transcriptomics assay that deconvolves into effect. Take multiple cell line and then treat…

  • |

    Reinforcement learning

    Reinforcement learning is a method that drives learning and memory in primitive species such as birds, humans and other living species to its use in machine learning. It is used to influence the behavior of us humans on social media to its use to train machines. The essential components were initiated by BF Skinner 20th…

  • Observability

    Observability is important for AI and AI tools. It is the ability to monitor them for token usage, response quality and model drift. Typically, an AI system is monitored through logs, traces and metrics but an AI system on AI agent may need other metrics. Troubleshooting a complex AI system that produces its output probabilistically…