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ModularImageAnalysis (MIA) Profile
ModularImageAnalysis (MIA)

@_MIAnalysis

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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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@_MIAnalysis
ModularImageAnalysis (MIA)
8 months
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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@_MIAnalysis
ModularImageAnalysis (MIA)
8 months
Both new modules available in the Images > Transform menu.
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@_MIAnalysis
ModularImageAnalysis (MIA)
8 months
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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@_MIAnalysis
ModularImageAnalysis (MIA)
9 months
RT @_sjcross: The @RoyalMicroSoc Journal of Microscopy special issue for Data Analysis In Microscopy (DAIM) is now out and includes the pa….
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onlinelibrary.wiley.com
The Journal of Microscopy is the oldest journal dedicated to the science of microscopy, publishing the latest advances in microscopy techniques and novel areas of application.
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@_MIAnalysis
ModularImageAnalysis (MIA)
10 months
You can find out more about Segment Anything at
segment-anything.com
Meta AI Computer Vision Research
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@_MIAnalysis
ModularImageAnalysis (MIA)
10 months
Note: The first time Segment Anything is used it can take a few minutes while the model is downloaded and installed.
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@_MIAnalysis
ModularImageAnalysis (MIA)
10 months
To speed things up further, "Manually identify objects" can now be set to automatically add new objects as soon as they're selected. This can be controlled from the object selection window.
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@_MIAnalysis
ModularImageAnalysis (MIA)
10 months
It's best to set "Default selector type" to "Single point", so clicking on an object will cause Segment Anything to automatically find it.
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@_MIAnalysis
ModularImageAnalysis (MIA)
10 months
To enable, just update MIA to the latest version and add the "SAMJ" update site. Following this, "Manually identify objects" will have the parameter "Enable Segment Anything".
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@_MIAnalysis
ModularImageAnalysis (MIA)
10 months
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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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
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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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
New example workflow at 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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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
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
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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
RT @_sjcross: I'm pleased to share MIA (@_MIAnalysis) in its published format. The paper describes MIA using a series of real-world exampl….
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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
Image sequence is a timelapse of yolk syncytial layer (YSL) nuclei from the Cell Image Library (.
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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
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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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
New example workflow for tracking objects added to
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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
We're proud to now be an official forum Community Partner. We can be found on there with the tag modular-image-analysis
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@_MIAnalysis
ModularImageAnalysis (MIA)
2 years
RT @_sjcross: A wonderful look at MIA from @VetAna_Sto 😊
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