TY - CHAP
T1 - ImageJ in computational fractal-based neuroscience
T2 - Pattern extraction and translational research
AU - Karperien, Audrey L.
AU - Jelinek, Herbert F.
N1 - Publisher Copyright:
© 2024. The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024/3
Y1 - 2024/3
N2 - 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.
AB - 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.
KW - Box counting
KW - Computer-assisted impage processing
KW - FracLac
KW - Fractals
KW - ImageJ
KW - Microglia
KW - Neurons
KW - Theoretical models
UR - http://www.scopus.com/inward/record.url?scp=85187793761&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85187793761&partnerID=8YFLogxK
UR - https://link.springer.com/book/10.1007/978-3-031-47606-8
U2 - 10.1007/978-3-031-47606-8_40
DO - 10.1007/978-3-031-47606-8_40
M3 - Chapter (peer-reviewed)
C2 - 38468064
AN - SCOPUS:85187793761
SN - 9783031476051
T3 - Advances in Neurobiology
SP - 795
EP - 814
BT - The fractal geometry of the brain
A2 - Di Ieva, Antonio
PB - Springer
ER -