ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research

Audrey L. Karperien, Herbert F. Jelinek

Research output: Contribution to journalArticlepeer-review

Abstract

To explore questions asked in neuroscience, neuroscientists rely heavily on the tools available. One such toolset is ImageJ, open-source, free, biological digital image analysis software. Open-source software has matured alongside of fractal analysis in neuroscience, and today ImageJ is not a niche but a foundation relied on by a substantial number of neuroscientists for work in diverse fields including fractal analysis. This is largely owing to two features of open-source software leveraged in ImageJ and vital to vigorous neuroscience: customizability and collaboration. With those notions in mind, this chapter's aim is threefold: (1) it introduces ImageJ, (2) it outlines ways this software tool has influenced fractal analysis in neuroscience and shaped the questions researchers devote time to, and (3) it reviews a few examples of ways investigators have developed and used ImageJ for pattern extraction in fractal analysis. Throughout this chapter, the focus is on fostering a collaborative and creative mindset for translating knowledge of the fractal geometry of the brain into clinical reality.

Original languageEnglish
Pages (from-to)795-814
Number of pages20
JournalAdvances in neurobiology
Volume36
DOIs
Publication statusPublished - 2024

Fingerprint

Dive into the research topics of 'ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research'. Together they form a unique fingerprint.

Cite this