MIA is a Fiji plugin which provides a modular framework for assembling image and object analysis workflows. Developed @wbif_bristol by @_sjcross

Joined April 2022
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MIA version 1.7.0 is now out via the ImageJ updater. This adds modules for converting large images to tile stacks and converting them back. These support tile overlap with linear gradient mixing.
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Both new modules available in the Images > Transform menu
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This version also allows any LUTs installed in ImageJ to be applied to images and for different composite modes (min, max and invert) to be used via ShowImages
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MIA version 1.6.9 is now available via the ImageJ Updater. The big new feature is compatibility with Meta's Segment Anything model, which is integrated using the fantastic SAMJ plugin for ImageJ. It's now possible to simply click objects in "Manually Identify Objects".
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New example workflow at github.com/mianalysis/mia-ex…. This one details how object relationships in MIA can be used to classify isolated and overlapping DNA molecules from AFM images.
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As with all example workflows, each module has a detailed description that can be accessed by going to View > Show notes panel
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Our shiny new website is now live thanks to the skills of @jdjfisher_. The site includes guides to using MIA as well as complete documentation for all modules. Speedy documentation search is courtesy of the excellent @algolia. Check it out at mianalysis.github.io
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ModularImageAnalysis (MIA) retweeted
I'm pleased to share MIA (@_MIAnalysis) in its published format. The paper describes MIA using a series of real-world example analyses. doi.org/10.1111/jmi.13227
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New example workflow for tracking objects added to github.com/mianalysis/mia-ex…
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This example introduces the "Spot detection" and "Track objects" modules, which both use MIA's TrackMate integration. Example also demonstrates parent-child relationships in context of tracked objects.
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Image sequence is a timelapse of yolk syncytial layer (YSL) nuclei from the Cell Image Library (cellimagelibrary.org/images/…)

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We're proud to now be an official image.sc forum Community Partner. We can be found on there with the tag modular-image-analysis forum.image.sc/tag/modular-i…
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ModularImageAnalysis (MIA) retweeted
A wonderful look at MIA from @VetAna_Sto 😊 analyticalscience.wiley.com/…

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