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. 2024:36:795-814.
doi: 10.1007/978-3-031-47606-8_40.

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

Audrey L Karperien  1 , Herbert F Jelinek  2
Affiliations

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

Audrey L Karperien et al. Adv Neurobiol. 2024.

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.

Keywords: Box counting; Computer-assisted impage processing; FracLac; Fractals; ImageJ; Microglia; Neurons; Theoretical models.

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