Brightest path tracing: A Python package to trace the brightest path in 2D and 3D images

Brightest path tracing is a widely used image processing technique in several fields including biology, geography, and geology. However, despite the availability of many image processing libraries in Python, few offer an out-of-the-box implementation of a brightest path tracing algorithm. This paper...

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Bibliographic Details
Published inbioRxiv
Main Authors Jha, Vasudha, Cudmore, Robert H
Format Journal Article Paper
LanguageEnglish
Published United States Cold Spring Harbor Laboratory 18.07.2023
Edition1.1
Subjects
Bioinformatics
Online AccessGet full text
ISSN2692-8205
2692-8205
DOI10.1101/2023.07.16.549233

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Summary:Brightest path tracing is a widely used image processing technique in several fields including biology, geography, and geology. However, despite the availability of many image processing libraries in Python, few offer an out-of-the-box implementation of a brightest path tracing algorithm. This paper presents a Python package, brightest-path-lib, that efficiently finds the path with maximum brightness between points in a 2D or 3D image. An example graphical user interface is provided as a Napari plugin. Taken together, the package and plugin provide a powerful and extensible tool for users to efficiently trace structures of interest in 2D or 3D images, regardless of the type of structure being analyzed.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Working Paper/Pre-Print-1
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Competing Interest Statement: The authors have declared no competing interest.
ISSN:2692-8205
2692-8205
DOI:10.1101/2023.07.16.549233