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


Ontology type: schema:Chapter     


Chapter Info

DATE

2016-08-04

AUTHORS

Audrey L. Karperien , Herbert F. Jelinek

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. More... »

PAGES

503-522

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-3995-4_32

DOI

http://dx.doi.org/10.1007/978-1-4939-3995-4_32

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031864996


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Community Health & Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1037.5", 
          "name": [
            "School of Community Health & Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Karperien", 
        "givenName": "Audrey L.", 
        "id": "sg:person.01212725112.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212725112.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Community Health & Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1037.5", 
          "name": [
            "School of Community Health & Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jelinek", 
        "givenName": "Herbert F.", 
        "id": "sg:person.0734237124.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734237124.86"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2016-08-04", 
    "datePublishedReg": "2016-08-04", 
    "description": "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\u2019s 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.", 
    "editor": [
      {
        "familyName": "Di Ieva", 
        "givenName": "Antonio", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-1-4939-3995-4_32", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-1-4939-3993-0", 
        "978-1-4939-3995-4"
      ], 
      "name": "The Fractal Geometry of the Brain", 
      "type": "Book"
    }, 
    "keywords": [
      "open-source software", 
      "pattern extraction", 
      "such toolsets", 
      "software tools", 
      "Computational Fractal", 
      "software", 
      "image analysis software", 
      "analysis software", 
      "diverse fields", 
      "ImageJ", 
      "toolset", 
      "customizability", 
      "tool", 
      "extraction", 
      "chapter\u2019s aim", 
      "neuroscience", 
      "neuroscientists", 
      "collaboration", 
      "questions researchers", 
      "reality", 
      "digital image analysis software", 
      "features", 
      "researchers", 
      "fractal analysis", 
      "example", 
      "work", 
      "way", 
      "knowledge", 
      "foundation", 
      "notion", 
      "research", 
      "analysis", 
      "number", 
      "fractals", 
      "time", 
      "creative mindset", 
      "focus", 
      "field", 
      "fractal geometry", 
      "chapter", 
      "mindset", 
      "translational research", 
      "mind", 
      "way investigators", 
      "questions", 
      "geometry", 
      "aim", 
      "substantial number", 
      "clinical reality", 
      "investigators", 
      "brain", 
      "niche", 
      "biological digital image analysis software", 
      "today ImageJ", 
      "vigorous neuroscience"
    ], 
    "name": "ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research", 
    "pagination": "503-522", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031864996"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-1-4939-3995-4_32"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-1-4939-3995-4_32", 
      "https://app.dimensions.ai/details/publication/pub.1031864996"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2021-11-01T18:54", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/chapter/chapter_279.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-1-4939-3995-4_32"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-3995-4_32'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-3995-4_32'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-3995-4_32'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-3995-4_32'


 

This table displays all metadata directly associated to this object as RDF triples.

122 TRIPLES      23 PREDICATES      79 URIs      72 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-1-4939-3995-4_32 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Nb166aef968d9436785eae204a61a8640
4 schema:datePublished 2016-08-04
5 schema:datePublishedReg 2016-08-04
6 schema:description 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.
7 schema:editor Nde2980fabe6744c48504cb6e30ee8daa
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nbbb00bc1ac4f4d2aaf6aad4ea3dd73ce
12 schema:keywords Computational Fractal
13 ImageJ
14 aim
15 analysis
16 analysis software
17 biological digital image analysis software
18 brain
19 chapter
20 chapter’s aim
21 clinical reality
22 collaboration
23 creative mindset
24 customizability
25 digital image analysis software
26 diverse fields
27 example
28 extraction
29 features
30 field
31 focus
32 foundation
33 fractal analysis
34 fractal geometry
35 fractals
36 geometry
37 image analysis software
38 investigators
39 knowledge
40 mind
41 mindset
42 neuroscience
43 neuroscientists
44 niche
45 notion
46 number
47 open-source software
48 pattern extraction
49 questions
50 questions researchers
51 reality
52 research
53 researchers
54 software
55 software tools
56 substantial number
57 such toolsets
58 time
59 today ImageJ
60 tool
61 toolset
62 translational research
63 vigorous neuroscience
64 way
65 way investigators
66 work
67 schema:name ImageJ in Computational Fractal-Based Neuroscience: Pattern Extraction and Translational Research
68 schema:pagination 503-522
69 schema:productId N015381b85c0f4a9da62675a3f08f2685
70 N17771054f5024587933eb1ac0d9a4f1e
71 schema:publisher Necad73cc3b264f468b94e95d500e211c
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031864996
73 https://doi.org/10.1007/978-1-4939-3995-4_32
74 schema:sdDatePublished 2021-11-01T18:54
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher N161f88e3990c460abe5de59b9864b8a5
77 schema:url https://doi.org/10.1007/978-1-4939-3995-4_32
78 sgo:license sg:explorer/license/
79 sgo:sdDataset chapters
80 rdf:type schema:Chapter
81 N015381b85c0f4a9da62675a3f08f2685 schema:name dimensions_id
82 schema:value pub.1031864996
83 rdf:type schema:PropertyValue
84 N161f88e3990c460abe5de59b9864b8a5 schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N17771054f5024587933eb1ac0d9a4f1e schema:name doi
87 schema:value 10.1007/978-1-4939-3995-4_32
88 rdf:type schema:PropertyValue
89 N69d2d1dbf488465b88789fcbf2e69e4c schema:familyName Di Ieva
90 schema:givenName Antonio
91 rdf:type schema:Person
92 Nb166aef968d9436785eae204a61a8640 rdf:first sg:person.01212725112.58
93 rdf:rest Nd01bcf16eca04c58a4c0a118e176fa55
94 Nbbb00bc1ac4f4d2aaf6aad4ea3dd73ce schema:isbn 978-1-4939-3993-0
95 978-1-4939-3995-4
96 schema:name The Fractal Geometry of the Brain
97 rdf:type schema:Book
98 Nd01bcf16eca04c58a4c0a118e176fa55 rdf:first sg:person.0734237124.86
99 rdf:rest rdf:nil
100 Nde2980fabe6744c48504cb6e30ee8daa rdf:first N69d2d1dbf488465b88789fcbf2e69e4c
101 rdf:rest rdf:nil
102 Necad73cc3b264f468b94e95d500e211c schema:name Springer Nature
103 rdf:type schema:Organisation
104 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
105 schema:name Information and Computing Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
108 schema:name Artificial Intelligence and Image Processing
109 rdf:type schema:DefinedTerm
110 sg:person.01212725112.58 schema:affiliation grid-institutes:grid.1037.5
111 schema:familyName Karperien
112 schema:givenName Audrey L.
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212725112.58
114 rdf:type schema:Person
115 sg:person.0734237124.86 schema:affiliation grid-institutes:grid.1037.5
116 schema:familyName Jelinek
117 schema:givenName Herbert F.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0734237124.86
119 rdf:type schema:Person
120 grid-institutes:grid.1037.5 schema:alternateName School of Community Health & Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia
121 schema:name School of Community Health & Centre for Research in Complex Systems, Charles Sturt University, Albury, Australia
122 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...