autoQC

Description

autoQC encapsulates a number of routines for performing microscope quality controls. From a few input images, it generates computer-friendly (i.e. CSV) data with numerical parameters for quality measures (resolution, field of view illumination, chromatic shift, stage reproducibility).

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mamut2r

Description

The goal of mamut2r is to imports data coming from .xml files generated with the Fiji MaMuT plugin for lineage and tracking of biological objects. {mamut2r} also allows to create lineage plots.

has function
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ImJoy

Description

ImJoy is a plugin powered hybrid computing platform for deploying deep learning applications such as advanced image analysis tools. ImJoy runs on mobile and desktop environment cross different operating systems, plugins can run in the browser, localhost, remote and cloud servers.With ImJoy, delivering Deep Learning tools to the end users is simple and easy thanks to its flexible plugin system and shareable plugin URL. Developers can easily add rich and interactive web interfaces to existing Python code.

 

NanoJ

Description

Set of Tools for super resolution microscopy

HAWK

Description

Preprocessing step for high-density analysis methods in super resolution localisation microscopy: it aims at correcting artefacts due to these approaches with based on Haar Wavelet Kernel Analysis.

Nuclei Segmentation 3D (ImageJ)

Description

The macro will segment nuclei and separate clustered nuclei in a 3D image using a binary watershed. As a result an index-mask image is written for each input image.

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3D ImageJ Suite

Description

This suite provides plugins to enhance 3D capabilities of ImageJ.

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Gaussian Blur 3D (ImageJ)

Description

Performs 3D Gaussian blurring.

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Watershed (ImageJ ij-1.52i)

Description

Performs watershed algotirhm with ij-1.52i.jar. legacy:ij.plugin.filter.EDM("watershed").

has function
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Nuclei Segmentation 2D (ImageJ)

Description

The macro will segment nuclei and separate clustered nuclei using a binary watershed. As a result an index-mask image is written for each input image.

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