TissueLab SDK
October 5, 2025 ยท View on GitHub
TissueLab SDK
OS-aware imaging wrappers for medical image processing
๐ Quick Start
Installation
pip install tissuelab_sdk
Basic Usage
from tissuelab_sdk.wrapper import TiffSlideWrapper, DicomImageWrapper
# Load a TIFF slide
with TiffSlideWrapper("path/to/slide.tiff") as slide:
print(f"Dimensions: {slide.dimensions}")
region = slide.read_region(location=(0, 0), level=0, size=(512, 512))
# Load a DICOM image
with DicomImageWrapper("path/to/image.dcm") as dicom:
region = dicom.read_region(location=(0, 0), level=0, size=(256, 256))
๐ฆ Supported Formats
- TIFF/TIFFSlide: Standard TIFF and tiled TIFF files
- DICOM: Medical imaging standard
- NIfTI: Neuroimaging format
- CZI: Zeiss microscopy format (Windows)
- ISyntax: Philips pathology format (Windows)
- Simple Images: JPEG, PNG, BMP, etc.
๐ง API Reference
Core Wrappers
from tissuelab_sdk.wrapper import (
TiffSlideWrapper, # TIFF files
DicomImageWrapper, # DICOM files
NiftiImageWrapper, # NIfTI files
SimpleImageWrapper, # JPEG, PNG, etc.
CziImageWrapper, # CZI files (Windows)
ISyntaxImageWrapper # ISyntax files (Windows)
)
# All wrappers share the same interface
with TiffSlideWrapper("image.tiff") as wrapper:
# Properties
wrapper.dimensions # (width, height)
wrapper.level_count # Number of pyramid levels
wrapper.properties # Dictionary of metadata
# Methods
region = wrapper.read_region(location=(x, y), level=0, size=(w, h))
thumbnail = wrapper.get_thumbnail((256, 256))
๐ฅ Integration with TissueLab
This SDK is part of the TissueLab ecosystem:
# TissueLab automatically uses this SDK for image loading
from tissuelab_sdk.wrapper import TiffSlideWrapper
def analyze_slide(slide_path):
with TiffSlideWrapper(slide_path) as slide:
# Process the slide
return process_image(slide)
๐ License
This project is licensed under the MIT License - see the LICENSE file for details.
๐ Contact & Support
- Main Project: TissueLab
- Issues: GitHub Issues
- Paper: arXiv:2509.20279
๐ Citation
If you use TissueLab SDK in your research, please cite our paper:
@article{li2025co,
title={A co-evolving agentic AI system for medical imaging analysis},
author={Li, Songhao and Xu, Jonathan and Bao, Tiancheng and Liu, Yuxuan and Liu, Yuchen and Liu, Yihang and Wang, Lilin and Lei, Wenhui and Wang, Sheng and Xu, Yinuo and Cui, Yan and Yao, Jialu and Koga, Shunsuke and Huang, Zhi},
journal={arXiv preprint arXiv:2509.20279},
year={2025}
}