@inbook{0b83ab05bff34a21aa2e628c239581ab,
title = "ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research",
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{\textquoteright}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",
author = "Karperien, \{Audrey L.\} and Jelinek, \{Herbert F.\}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",
year = "2024",
doi = "10.1007/978-3-031-47606-8\_40",
language = "English",
series = "Advances in Neurobiology",
publisher = "Springer",
pages = "795--814",
booktitle = "Advances in Neurobiology",
address = "Germany",
}