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tomopyui

tomopyui is an ipywidgets-based graphical user interface for TomoPy.

Read the documentation for installation and usage instructions.

If you use this software, please cite using the following article:

@article{tomopyui,
author = "Welborn, Samuel S. and Preefer, Molleigh B. and Nelson Weker, Johanna",
title = "{{\it TomoPyUI}: a user-friendly tool for rapid tomography alignment and reconstruction}",
journal = "Journal of Synchrotron Radiation",
year = "2024",
volume = "31",
number = "4",
pages = "",
month = "Jul",
doi = {10.1107/S1600577524003989},
url = {<https://doi.org/10.1107/S1600577524003989}>,
abstract = {The management and processing of synchrotron and neutron computed tomography data can be a complex, labor-intensive and unstructured process. Users devote substantial time to both manually processing their data ({\it i.e.} organizing data/metadata, applying image filters {\it etc.}) and waiting for the computation of iterative alignment and reconstruction algorithms to finish. In this work, we present a solution to these problems: {\it TomoPyUI}, a user interface for the well known tomography data processing package {\it TomoPy}. This highly visual Python software package guides the user through the tomography processing pipeline from data import, preprocessing, alignment and finally to 3D volume reconstruction. The {\it TomoPyUI} systematic intermediate data and metadata storage system improves organization, and the inspection and manipulation tools (built within the application) help to avoid interrupted workflows. Notably, {\it TomoPyUI} operates entirely within a {\it Jupyter} environment. Herein, we provide a summary of these key features of {\it TomoPyUI}, along with an overview of the tomography processing pipeline, a discussion of the landscape of existing tomography processing software and the purpose of {\it TomoPyUI}, and a demonstration of its capabilities for real tomography data collected at SSRL beamline 6-2c.},
keywords = {TomoPyUI, computed tomography, alignment, reconstruction, TomoPy, Jupyter},
}