Image J in computational fractal-based neuroscience: Pattern extraction and translational research

Audrey L. Karperien, Herbert F. Jelinek

Research output: Book chapter/Published conference paperChapter in textbook/reference book

Abstract

To explore questions asked in neuroscience, neuroscientists rely heavily on
the tools available. One such toolset is Image], open-source, free, biological digital image analysis software. Open-source software has matured alongside of fractal analysis in neuroscience, and today Image] 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 Image] and vital to vigorous neuroscience: customizability and collaboration. With those notions in mind, this chapter's aim is threefold: (1) it introduces Image], (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 Image] 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
Title of host publicationThe Fractal Geometry of the Brain
EditorsAntonio Di Ieva
Place of PublicationNew York, NY
PublisherSpringer
Chapter32
Pages503-522
Number of pages20
ISBN (Print)9781493939954
DOIs
Publication statusPublished - 2016

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Karperien, A. L., & Jelinek, H. F. (2016). Image J in computational fractal-based neuroscience: Pattern extraction and translational research. In A. Di Ieva (Ed.), The Fractal Geometry of the Brain (pp. 503-522). Springer. https://doi.org/10.1007/978-1-4939-3995-4_32