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Spotiflow

github.comtool

A deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method developed for spatial transcriptomics workflows.

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Biological Image Analysis
added
2026-10-10
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similar

  1. DeepSpot github.com

    Deep learning model predicting spatial transcriptomics from H&E images at spot and single-cell resolution.

  2. DeepSpot2Cell github.com

    Predicts virtual single-cell spatial transcriptomics from H&E using spot-level supervision (NeurIPS 2025 Imageomics).

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  3. DeepSpot-M github.com

    Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.

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  4. FlashDeconv github.com

    High-performance spatial transcriptomics deconvolution (~1M spots in ~3 min).

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  5. TCGA virtual spatial transcriptomics atlas huggingface.co

    DeepSpot-M predicted transcriptome-wide ST for TCGA H&E (FF + FFPE; 28,664 slides / 32 cancer types; gated). Paper: DeepSpot-M.

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  6. Nextflow github.com

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Biological Image Analysis › Fluoresence in situ hybridization: “A deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method developed for spatial transcriptomics workflows.”