A python library for deinterlacing images collected using resonant-scanning microscopes.
Project description
Deinterlace Resonant-Scanned Images
This python module can be used to correct the misalignment between forward and backward-scanned lines collected by resonance-scanning microscopes.
Features
- GPU Acceleration: Optional CuPy backend for increased performance
- Batch Processing: Supports block-wise processing to reduce memory constraints.
- Pooling Noisy Data: Deinterlacing can be applied to pooled-pixels for improved performance on noisy or sparse images.
- Handles Instability: Supports processing individual frames while autocorrection methods applied during acquisition stabilize
Installation
The repository is available on PyPI and can be installed using your preferred package manager. For example: pip
pip install deinterlacing
uv
uv add deinterlacing
Dependencies
- Boltons
- CuPy (Optional)
- NumPy
- Pydantic
- TQDM
Example
from deinterlacing import deinterlace
import numpy as np
# Load your images
images = np.load("my_images.npy")
# Deinterlace the images
deinterlace(images)
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