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Noise2Void (N2V) is a self-supervised deep learning method for fluorescence microscopy image denoising that requires only noisy images — no clean ground truth needed. Uses a blind-spot convolutional n

2 shared topics • 1 shared operation

QuPath — open-source platform for whole slide image analysis and digital pathology. Provides interactive tools for tissue detection via thresholding, cell detection and positive cell classification (H

2 shared topics • 1 shared operation

CellProfiler — open-source image analysis software for quantitative measurement of cell phenotypes from microscopy images. Supports high-content screening, cell segmentation (IdentifyPrimaryObjects, I

1 shared topic • 2 shared operations

Bambi (BAyesian Model-Building Interface) is a high-level Python package for fitting Bayesian generalized linear and generalized linear mixed models using a concise, R-style Wilkinson formula syntax.

2 shared topics

Stan — probabilistic programming language for Bayesian statistical modeling and high-performance inference. Full Bayesian inference via No-U-Turn Sampler (NUTS/HMC), approximate inference via Automati

2 shared topics