Update README.md

README.md

@@ -65,12 +65,3 @@ masks, flows, styles = model.predict(
 - Batch size: 1
 - Framework: Cellpose 4.x (`train.train_seg`)
 - Hardware: NVIDIA GPU (CUDA 12.6)
-
-## Intended use
-
-Segmentation of bacteria (~1.5 µm) in Airyscan confocal images of mouse colon tissue for downstream fluorescence ratio measurements (GFP/BFP osmotic stress, RFP/BFP oxidative stress reporters).
-
-Post-segmentation filters recommended:
-1. Size filter: 8–300 px²
-2. Spectral filter: remove objects where min(GFP, RFP) / BFP > 0.6 (fecal autofluorescence)
-3. SYTOX exclusion: remove objects overlapping > 25% with SYTOX+ host nuclei