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

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The Fractal Geometry of the Brain

Part of the book series: Advances in Neurobiology ((NEUROBIOL,volume 36))

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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.

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Authors and Affiliations

  1. School of Community Health, Charles Sturt University, Albury, Australia

    Audrey L. Karperien

  2. Department of Medical Sciences and Biotechnology Center, Khalifa University, Abu Dhabi, UAE

    Herbert F. Jelinek

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  1. Audrey L. Karperien
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  2. Herbert F. Jelinek
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Editors and Affiliations

  1. Computational NeuroSurgery (CNS) Lab & Macquarie Neurosurgery Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia

    Antonio Di Ieva

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Karperien, A.L., Jelinek, H.F. (2024). ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research. In: Di Ieva, A. (eds) The Fractal Geometry of the Brain. Advances in Neurobiology, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-031-47606-8_40

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