Observation of subcellular structures of neurons by an illumination mode near-field optical microscope under an optical feedback control View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1996-11

AUTHORS

Rajagopalan Uma Maheswari, Shuji Mononobe, Hitoshi Tatsumi, Yoshifumi Katayama, Motoichi Ohtsu

ABSTRACT

We propose an illumination mode near-field optical microscope operated under an optical feedback for imaging biological specimens in their natural environment. For feedback control, rapidly varying evanescent signal has been generated over the sample surface. It has been found that evanescent signal can be profitably used as a control signal by utilizing its sample feature dependent discrimination sensitivity. Neurons have been successfully observed both in air and in liquid with a resolution well beyond the diffraction limit. More... »

PAGES

463

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02932048

DOI

http://dx.doi.org/10.1007/bf02932048

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040826602


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/2008/0299", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Other Physical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kanagawa Academy of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.419705.e", 
          "name": [
            "Kanagawa Academy of Science and Technology, KSP East 408, 3-2-1, Sakado, Takatsu-ku, Kawasaki, 213, Kanagazva, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uma Maheswari", 
        "givenName": "Rajagopalan", 
        "id": "sg:person.016155541773.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016155541773.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Medical and Dental University", 
          "id": "https://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Autonomic Physiology, Medical Research Institute, Tokyo Medical and Dental University, 101, Chiyoda-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mononobe", 
        "givenName": "Shuji", 
        "id": "sg:person.011301265233.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011301265233.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Medical and Dental University", 
          "id": "https://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Autonomic Physiology, Medical Research Institute, Tokyo Medical and Dental University, 101, Chiyoda-ku, Tokyo, Japan", 
            "\u201cThe Intelligence and its Origin,\u201d, PRESTO, Japan Science and Technology Corporation, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tatsumi", 
        "givenName": "Hitoshi", 
        "id": "sg:person.012321510131.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012321510131.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Medical and Dental University", 
          "id": "https://www.grid.ac/institutes/grid.265073.5", 
          "name": [
            "Department of Autonomic Physiology, Medical Research Institute, Tokyo Medical and Dental University, 101, Chiyoda-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Katayama", 
        "givenName": "Yoshifumi", 
        "id": "sg:person.014667134221.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014667134221.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.32197.3e", 
          "name": [
            "Kanagawa Academy of Science and Technology, KSP East 408, 3-2-1, Sakado, Takatsu-ku, Kawasaki, 213, Kanagazva, Japan", 
            "Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259, Nagatsuda, Midori-ku, Yokohama, 226, Kanagazva, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohtsu", 
        "givenName": "Motoichi", 
        "id": "sg:person.01046230011.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046230011.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0030-4018(95)00462-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024534295"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.133.1.151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045582328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(85)90330-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051512796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/el:19931317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056779928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.106940", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057654509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.113392", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057660940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.116510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057680723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/50.400696", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061181720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1116/1.578340", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062188387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.21.000001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065216449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.21.000674", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065216675"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1996-11", 
    "datePublishedReg": "1996-11-01", 
    "description": "We propose an illumination mode near-field optical microscope operated under an optical feedback for imaging biological specimens in their natural environment. For feedback control, rapidly varying evanescent signal has been generated over the sample surface. It has been found that evanescent signal can be profitably used as a control signal by utilizing its sample feature dependent discrimination sensitivity. Neurons have been successfully observed both in air and in liquid with a resolution well beyond the diffraction limit.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02932048", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1042015", 
        "issn": [
          "1340-6000", 
          "1349-9432"
        ], 
        "name": "Optical Review", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "3"
      }
    ], 
    "name": "Observation of subcellular structures of neurons by an illumination mode near-field optical microscope under an optical feedback control", 
    "pagination": "463", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c27b61737c3df8c0394bced5a7f3484e7e1b93f0fdf833499b54f7ff74bcf959"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02932048"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040826602"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02932048", 
      "https://app.dimensions.ai/details/publication/pub.1040826602"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:49", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130794_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2FBF02932048"
  }
]
 

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/bf02932048'

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/bf02932048'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02932048'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02932048'


 

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

130 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02932048 schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author Ncdcfec7d78fa4098bef5288e403d0dcd
4 schema:citation https://doi.org/10.1016/0022-2836(85)90330-4
5 https://doi.org/10.1016/0030-4018(95)00462-h
6 https://doi.org/10.1049/el:19931317
7 https://doi.org/10.1063/1.106940
8 https://doi.org/10.1063/1.113392
9 https://doi.org/10.1063/1.116510
10 https://doi.org/10.1083/jcb.133.1.151
11 https://doi.org/10.1109/50.400696
12 https://doi.org/10.1116/1.578340
13 https://doi.org/10.1364/ol.21.000001
14 https://doi.org/10.1364/ol.21.000674
15 schema:datePublished 1996-11
16 schema:datePublishedReg 1996-11-01
17 schema:description We propose an illumination mode near-field optical microscope operated under an optical feedback for imaging biological specimens in their natural environment. For feedback control, rapidly varying evanescent signal has been generated over the sample surface. It has been found that evanescent signal can be profitably used as a control signal by utilizing its sample feature dependent discrimination sensitivity. Neurons have been successfully observed both in air and in liquid with a resolution well beyond the diffraction limit.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N09d1c00099794475ba8ad962294a1056
22 Ncaf4f4b79d1b4afa802905a2f5eaa233
23 sg:journal.1042015
24 schema:name Observation of subcellular structures of neurons by an illumination mode near-field optical microscope under an optical feedback control
25 schema:pagination 463
26 schema:productId N0201193dd16543d997d168e7a067265b
27 N1a8a9ccaf5c3429b9de3ed88e97c16ee
28 N4fc45dc762b84153a59bfb13b825237a
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040826602
30 https://doi.org/10.1007/bf02932048
31 schema:sdDatePublished 2019-04-11T13:49
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher N59cbf8e4cc3a4fffabd82d5bbc1524d8
34 schema:url http://link.springer.com/10.1007%2FBF02932048
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N0201193dd16543d997d168e7a067265b schema:name readcube_id
39 schema:value c27b61737c3df8c0394bced5a7f3484e7e1b93f0fdf833499b54f7ff74bcf959
40 rdf:type schema:PropertyValue
41 N09d1c00099794475ba8ad962294a1056 schema:volumeNumber 3
42 rdf:type schema:PublicationVolume
43 N1a8a9ccaf5c3429b9de3ed88e97c16ee schema:name dimensions_id
44 schema:value pub.1040826602
45 rdf:type schema:PropertyValue
46 N4fc45dc762b84153a59bfb13b825237a schema:name doi
47 schema:value 10.1007/bf02932048
48 rdf:type schema:PropertyValue
49 N59cbf8e4cc3a4fffabd82d5bbc1524d8 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N6357090ae3d04e2a8939d303c2532692 rdf:first sg:person.014667134221.11
52 rdf:rest N7880fe3a785249ef9c346d1f2a1db983
53 N660ce789e73245b18494d9e1f6f2ec6a rdf:first sg:person.011301265233.57
54 rdf:rest Na30994d559dc4b2c9a17dea22d938ea3
55 N7880fe3a785249ef9c346d1f2a1db983 rdf:first sg:person.01046230011.99
56 rdf:rest rdf:nil
57 Na30994d559dc4b2c9a17dea22d938ea3 rdf:first sg:person.012321510131.15
58 rdf:rest N6357090ae3d04e2a8939d303c2532692
59 Ncaf4f4b79d1b4afa802905a2f5eaa233 schema:issueNumber 6
60 rdf:type schema:PublicationIssue
61 Ncdcfec7d78fa4098bef5288e403d0dcd rdf:first sg:person.016155541773.12
62 rdf:rest N660ce789e73245b18494d9e1f6f2ec6a
63 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
64 schema:name Physical Sciences
65 rdf:type schema:DefinedTerm
66 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
67 schema:name Other Physical Sciences
68 rdf:type schema:DefinedTerm
69 sg:journal.1042015 schema:issn 1340-6000
70 1349-9432
71 schema:name Optical Review
72 rdf:type schema:Periodical
73 sg:person.01046230011.99 schema:affiliation https://www.grid.ac/institutes/grid.32197.3e
74 schema:familyName Ohtsu
75 schema:givenName Motoichi
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046230011.99
77 rdf:type schema:Person
78 sg:person.011301265233.57 schema:affiliation https://www.grid.ac/institutes/grid.265073.5
79 schema:familyName Mononobe
80 schema:givenName Shuji
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011301265233.57
82 rdf:type schema:Person
83 sg:person.012321510131.15 schema:affiliation https://www.grid.ac/institutes/grid.265073.5
84 schema:familyName Tatsumi
85 schema:givenName Hitoshi
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012321510131.15
87 rdf:type schema:Person
88 sg:person.014667134221.11 schema:affiliation https://www.grid.ac/institutes/grid.265073.5
89 schema:familyName Katayama
90 schema:givenName Yoshifumi
91 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014667134221.11
92 rdf:type schema:Person
93 sg:person.016155541773.12 schema:affiliation https://www.grid.ac/institutes/grid.419705.e
94 schema:familyName Uma Maheswari
95 schema:givenName Rajagopalan
96 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016155541773.12
97 rdf:type schema:Person
98 https://doi.org/10.1016/0022-2836(85)90330-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051512796
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1016/0030-4018(95)00462-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1024534295
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1049/el:19931317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056779928
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1063/1.106940 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057654509
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1063/1.113392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057660940
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1063/1.116510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057680723
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1083/jcb.133.1.151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045582328
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1109/50.400696 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061181720
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1116/1.578340 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062188387
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1364/ol.21.000001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065216449
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1364/ol.21.000674 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065216675
119 rdf:type schema:CreativeWork
120 https://www.grid.ac/institutes/grid.265073.5 schema:alternateName Tokyo Medical and Dental University
121 schema:name Department of Autonomic Physiology, Medical Research Institute, Tokyo Medical and Dental University, 101, Chiyoda-ku, Tokyo, Japan
122 “The Intelligence and its Origin,”, PRESTO, Japan Science and Technology Corporation, Japan
123 rdf:type schema:Organization
124 https://www.grid.ac/institutes/grid.32197.3e schema:alternateName Tokyo Institute of Technology
125 schema:name Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259, Nagatsuda, Midori-ku, Yokohama, 226, Kanagazva, Japan
126 Kanagawa Academy of Science and Technology, KSP East 408, 3-2-1, Sakado, Takatsu-ku, Kawasaki, 213, Kanagazva, Japan
127 rdf:type schema:Organization
128 https://www.grid.ac/institutes/grid.419705.e schema:alternateName Kanagawa Academy of Science and Technology
129 schema:name Kanagawa Academy of Science and Technology, KSP East 408, 3-2-1, Sakado, Takatsu-ku, Kawasaki, 213, Kanagazva, Japan
130 rdf:type schema:Organization
 




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


...