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Description

The article describes how a FRAP experiment can be conducted and subsequently analyzed. This includes steps in ImageJ and subsequent normalization of the intensity data.

This is a qualitative analysis, and curve fitting is done using Excel. 

Requires "Template matching and Slice alignment plugin"

Description

OMERO is an image database application consisting of a server and several clients, the most important of which are the web client and _Insight_ java application. Metadata are extracted from images that have been imported (either using the Insight client, or directly from the filesystem), and this is accessible for search. A standardised hierarchy of _Project > Dataset > Image_ in which image thumbnails can be viewed, combined with group membership, tagging, and attachment of results and other files gives a powerful framework for organising scientific image data. Images can also be analysed server-side or client-side within the base OMERO application or one of its many extensions. OMERO has APIs for extension in multiple languages: java, python, C++ and MATLAB; and such extensions have easy access to the image data and metadata in the database.

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Description
QuickPALM is a set of programs to aid in the acquisition and image analysis of data in “photoactivated localization microscopy” (PALM) and “stochastic optical reconstruction microscopy” (STORM). QuickPALM features the associated QuickPALM ImageJ plugin, which enables PALM/STORM 2D/3D/4D particle detection and image reconstruction in ImageJ.
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Description

This method allows to compute a threshold that preserves the moments of an image. In ImageJ/Fiji, you can access it in Image->Ajust->Threshold and choose Moments in the list. In Aphelion, the tool is in Segmentation->Threshold->AphImgMomentThreshold The original paper is 2449

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Description

The QuimP software from Bretschneider group is deployed as ImageJ plugin and includes model-based cell segmentation, cell outline tracking and quantification of the spatially resolved speed of protrusions and retractions. The algorithm to calculate morphological dynamics is faster compared to other approaches (e.g. Machacek and Danuser, 2006). The reference paper describes the workflow for these analyses.