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MicroNet Assistant Tool User’s Manual v1.0The MicroNet Assistant Tool allows users to upload, pre-process, and annotate images for training microscopy segmentation models using MicroNet. The tool also trains the segmentation model and enables use of trained models for segmentation of additional images. Finally, it generates voxelated geometric models of the microstructure for use in micromechanics analysis toolsets. The tool provides an intuitive graphical user interface (GUI) that enables allows users to resize images, crop images to develop a training data set, rapidly label classes using either the Segment Anything Model (SAM) or built-in manual drawing tools, and train a MicroNet segmentation model. Additionally, it enables users to perform model inference using a previously trained MicroNet model, and contains various post-processing toolsets to develop geometric models for analysis tools and perform measurements on segmented images. The MicroNet Assistant Tool thus significantly reduces the time to train and use a microscopy segmentation model and reduces the barrier-to-entry scripting knowledge and skillset needed to use advanced segmentation modeling capabilities.
Document ID
20260000672
Acquisition Source
Glenn Research Center
Document Type
Technical Memorandum (TM)
Authors
Brandon L Hearley
(Glenn Research Center Cleveland, United States)
Josh Stuckner
(Glenn Research Center Cleveland, United States)
Evan J Pineda
(Glenn Research Center Cleveland, United States)
Laura Wilson
(Glenn Research Center Cleveland, United States)
Date Acquired
January 21, 2026
Publication Date
February 1, 2026
Publication Information
Publisher: National Aeronautics and Space Administration
Subject Category
Computer Programming and Software
Report/Patent Number
NASA/TM-20260000672
Funding Number(s)
WBS: 361807.02.03.02.07
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
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