Spotiflow
A deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method developed for spatial transcriptomics workflows.
- from
- Biological Image Analysis
- added
- 2026-10-10
- likes
- 0
similar
-
DeepSpot github.com
Deep learning model predicting spatial transcriptomics from H&E images at spot and single-cell resolution.
-
DeepSpot2Cell github.com
Predicts virtual single-cell spatial transcriptomics from H&E using spot-level supervision (NeurIPS 2025 Imageomics).
-
DeepSpot-M github.com
Multimodal foundation model for transcriptome-wide virtual spatial transcriptomics from histology.
-
FlashDeconv github.com
High-performance spatial transcriptomics deconvolution (~1M spots in ~3 min).
-
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.
-
Nextflow github.com
Biological Image Analysis › Fluoresence in situ hybridization: “A deep learning-based, threshold-agnostic, and subpixel-accurate spot detection method developed for spatial transcriptomics workflows.”