LinkinPy-StarDist

LinkinPy-compatible Python package for StarDist 2D workflows.

It provides three high-level functions:

• train_2d_with_qc: train a custom StarDist 2D model with optional augmentation and quality control
• predict_2d_custom_model: run inference with a trained model directory
• predict_2d_pretrained_model: run inference with a StarDist pretrained model

Training expects paired raw images and instance-label masks. File names are matched by stem, so images/cell01.tif pairs with masks/cell01.tif.

When quality control is enabled, the data is split into train, validation, and test sets. The held-out test split is used only for QC metrics after training.