HistoSeg
Python toolkit for H&E image analysis, spatial contour analysis, and 3D contour reconstruction.
HistoSeg has three public feature groups:
- HE Analysis (
histoseg.he) for image-based H&E tissue segmentation, neutral tissue partitioning, and aligned-image change detection. - Contour Analysis (
histoseg.contour) for contour extraction from spatial/cell-coordinate data, including Pattern1 isolines and multi-structure Xenium exports. - 3D Analysis (
histoseg.threed) for same-sample, multi-slice Xenium contour alignment and reconstruction workflows.
Full documentation: histoseg.readthedocs.io
When To Use Each Feature Group
Use HE Analysis when your input is an H&E image such as PNG, JPG, TIFF, or GeoTIFF and you want masks, overlays, heatmaps, GeoJSON polygons, or region tables.
Use Contour Analysis when your input is spatial cell-coordinate data such as Xenium cells.parquet plus cluster assignments, and you want geometry extracted from cell neighborhoods or selected cluster groups.
Use 3D Analysis when you are preparing for multi-slice Xenium contour reconstruction from the same sample. The first released workflow soft-aligns a hard-aligned moving contour GeoJSON to a fixed reference slice with a conservative TPS displacement field.
Installation
pip install -U histoseg
For local Hugging Face MedSAM-backed HE segmentation:
pip install -U "histoseg[he]"
For development:
git clone https://github.com/hutaobo/HistoSeg.git
cd HistoSeg
pip install -U pip
pip install -e ".[he]"
HE Analysis Quickstart
from histoseg.he import HESegmentationConfig, run_he_segmentation
result = run_he_segmentation(
HESegmentationConfig(
image="/path/to/he.png",
out_dir="outputs/he_all_elements",
task="all_elements",
backend="heuristic",
n_components=6,
)
)
print(result.overlay_png)
print(result.geojson)
histoseg-he all-elements \
--image /path/to/he.png \
--out-dir outputs/he_all_elements \
--backend heuristic
HE Analysis currently supports:
single: tissue foreground extraction, or user-prompted region extraction from boxes/pointsall_elements: neutral tissue component partitioning (component_1,component_2, ...)change: aligned before/after H&E change detection
Contour Analysis Quickstart
from histoseg.contour import Pattern1IsolineConfig, run_pattern1_isoline
cfg = Pattern1IsolineConfig(
clusters_csv="/path/to/clusters.csv",
cells_parquet="/path/to/cells.parquet",
tissue_boundary_csv="/path/to/tissue_boundary.csv",
out_dir="outputs/pattern1_isoline0p5",
pattern1_clusters=(10, 23, 19, 27, 14, 20, 25, 26),
)
result = run_pattern1_isoline(cfg)
print(result.preview_png)
print(len(result.contours))
histoseg-contour pattern1 \
--clusters-csv clusters.csv \
--cells-parquet cells.parquet \
--out-dir outputs/pattern1 \
--pattern1-clusters 10,23,19
Contour Analysis currently supports:
- Pattern1 isoline contour generation from clustered cell coordinates
- multi-structure contour partitioning
- Xenium Explorer annotation exports
- Hugging Face dataset helper workflows for Xenium-style inputs
3D Analysis Quickstart
from histoseg.threed import (
ThreeDContourReconstructionConfig,
run_3d_contour_reconstruction,
)
cfg = ThreeDContourReconstructionConfig(
fixed_geojson="slice_01.geojson",
moving_hard_aligned_geojson="slice_02_hard_aligned_to_01.geojson",
out_dir="outputs/3d_soft_alignment",
group_property="structure",
diagnostic_structure="Structure 5",
)
result = run_3d_contour_reconstruction(cfg)
print(result.soft_aligned_geojson)
print(result.diagnostic_report_png)
histoseg-3d reconstruct \
--fixed-geojson slice_01.geojson \
--moving-hard-aligned-geojson slice_02_hard_aligned_to_01.geojson \
--out-dir outputs/3d_soft_alignment \
--group-property structure \
--diagnostic-structure "Structure 5"
3D Analysis currently performs the soft TPS registration/pre-reconstruction step. It does not yet generate a 3D mesh or volume.
Outputs
HistoSeg workflows write reviewable artifacts such as:
- PNG previews and overlays
- label maps and heatmaps
- GeoJSON polygons
- CSV/Parquet region or contour tables
params.jsonandmetrics.jsonprovenance files
Documentation
License
This project is distributed under the PolyForm Noncommercial 1.0.0 license. Academic and other noncommercial use is permitted. Any commercial use requires a separate commercial license from SPATHO AB. See LICENSE for details.
Release files for histoseg 0.1.9.3
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|---|---|---|---|---|
| histoseg-0.1.9.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:10.6 MB
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