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DeBCR
DeBCR is a sparsity-efficient deep learning framework for denoising, deblurring, and deconvolving fluorescence microscopy images. Using the m-rBCR model, it restores structural details and improves resolution. It is available as a Python package and napari plugin for efficient image restoration.
- deblurring
- deconvolution
- Deep Learning
- + 3
- Python
- Jupyter Notebook
5
0
scPower
scPower is a statistical framework for design and power analysis of multi-sample single cell transcriptomics experiments. It enables users to identify the optimal experimental parameters for cell type specific inter-individual DE and eQTL analysis using single cell RNA-seq data given a fixed budget.
- Experimental design
- Health
- scRNA-seq
- + 1
- R
- HTML
- CSS
3
0