Position detection method for microwell chip on microscope stage by photon multiplier tube View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-11

AUTHORS

Ki Ando, Hidekazu Uchida, Shamim Ahmed, Koichi Nishigaki, Osamu Takei, Akinori Kanasugi

ABSTRACT

In this paper, we propose a position detection method for a microwell with manageable volume (MMV) chip on the stage of the inverted microscope. When the manipulation robot arm puts an MMV chip on the microscope stage, there is alignment error up to 500 μm. This error affects measurement accuracy of fluorescence from solution filled in a tiny hall of the MMV chip. Usually, CCD image processing is used for detecting a position. However, appending a CCD camera to our microscope increases the complexity of the optical system. Therefore, we used a photon multiplier tube which was already equipped for measuring fluorescence. In the result, the position of the MMV chips was detected by putting a pilot LED directly above the objective lens. The detection error was less than 10 μm. Although this method was devised for our system, we considered that it was available in other micro optics systems. More... »

PAGES

239-243

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10015-014-0163-z

DOI

http://dx.doi.org/10.1007/s10015-014-0163-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038440821


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": "Tokyo Denki University", 
          "id": "https://www.grid.ac/institutes/grid.412773.4", 
          "name": [
            "Tokyo Denki University, 5 Senjyu-Asahicho, 120-8551, Adachi-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ando", 
        "givenName": "Ki", 
        "id": "sg:person.0662121764.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662121764.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saitama University", 
          "id": "https://www.grid.ac/institutes/grid.263023.6", 
          "name": [
            "Saitama University, 255 Shimo-Okubo, Sakura-ku, 338-8570, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uchida", 
        "givenName": "Hidekazu", 
        "id": "sg:person.01131707703.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131707703.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Shahjalal University of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.412506.4", 
          "name": [
            "Shahjalal University of Science and Technology, Kumargaon, 3114, Sylhet, Bangladesh"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahmed", 
        "givenName": "Shamim", 
        "id": "sg:person.01062505734.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062505734.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saitama University", 
          "id": "https://www.grid.ac/institutes/grid.263023.6", 
          "name": [
            "Saitama University, 255 Shimo-Okubo, Sakura-ku, 338-8570, Saitama-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishigaki", 
        "givenName": "Koichi", 
        "id": "sg:person.01115456732.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115456732.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Lifetech CO., Ltd, 4074 Miyadera, 358-0014, Iruma-shi, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takei", 
        "givenName": "Osamu", 
        "id": "sg:person.01044463564.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044463564.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Denki University", 
          "id": "https://www.grid.ac/institutes/grid.412773.4", 
          "name": [
            "Tokyo Denki University, 5 Senjyu-Asahicho, 120-8551, Adachi-ku, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanasugi", 
        "givenName": "Akinori", 
        "id": "sg:person.010612270053.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010612270053.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-1-4757-5348-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015063875", 
          "https://doi.org/10.1007/978-1-4757-5348-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-5348-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015063875", 
          "https://doi.org/10.1007/978-1-4757-5348-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1211", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029362798", 
          "https://doi.org/10.1038/nmeth.1211"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6750-10-71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050701375", 
          "https://doi.org/10.1186/1472-6750-10-71"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1541/ieejsmas.133.250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067812244"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-11", 
    "datePublishedReg": "2014-11-01", 
    "description": "In this paper, we propose a position detection method for a microwell with manageable volume (MMV) chip on the stage of the inverted microscope. When the manipulation robot arm puts an MMV chip on the microscope stage, there is alignment error up to 500 \u03bcm. This error affects measurement accuracy of fluorescence from solution filled in a tiny hall of the MMV chip. Usually, CCD image processing is used for detecting a position. However, appending a CCD camera to our microscope increases the complexity of the optical system. Therefore, we used a photon multiplier tube which was already equipped for measuring fluorescence. In the result, the position of the MMV chips was detected by putting a pilot LED directly above the objective lens. The detection error was less than 10 \u03bcm. Although this method was devised for our system, we considered that it was available in other micro optics systems.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10015-014-0163-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1135365", 
        "issn": [
          "1433-5298", 
          "1614-7456"
        ], 
        "name": "Artificial Life and Robotics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Position detection method for microwell chip on microscope stage by photon multiplier tube", 
    "pagination": "239-243", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b71d7eef4d47c354ab62858dfd70c04706dd07d20e0fd34ed044994ad03a844f"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10015-014-0163-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038440821"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10015-014-0163-z", 
      "https://app.dimensions.ai/details/publication/pub.1038440821"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:58", 
    "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/v90/0000000001_0000000264/records_8681_00000514.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10015-014-0163-z"
  }
]
 

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/s10015-014-0163-z'

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/s10015-014-0163-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10015-014-0163-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10015-014-0163-z'


 

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

119 TRIPLES      21 PREDICATES      31 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10015-014-0163-z schema:about anzsrc-for:02
2 anzsrc-for:0299
3 schema:author N98b6a09a64bc4aaabffe2909e0582971
4 schema:citation sg:pub.10.1007/978-1-4757-5348-6
5 sg:pub.10.1038/nmeth.1211
6 sg:pub.10.1186/1472-6750-10-71
7 https://doi.org/10.1541/ieejsmas.133.250
8 schema:datePublished 2014-11
9 schema:datePublishedReg 2014-11-01
10 schema:description In this paper, we propose a position detection method for a microwell with manageable volume (MMV) chip on the stage of the inverted microscope. When the manipulation robot arm puts an MMV chip on the microscope stage, there is alignment error up to 500 μm. This error affects measurement accuracy of fluorescence from solution filled in a tiny hall of the MMV chip. Usually, CCD image processing is used for detecting a position. However, appending a CCD camera to our microscope increases the complexity of the optical system. Therefore, we used a photon multiplier tube which was already equipped for measuring fluorescence. In the result, the position of the MMV chips was detected by putting a pilot LED directly above the objective lens. The detection error was less than 10 μm. Although this method was devised for our system, we considered that it was available in other micro optics systems.
11 schema:genre research_article
12 schema:inLanguage en
13 schema:isAccessibleForFree false
14 schema:isPartOf N14741103bbef4ce98d5712b2ddd24855
15 Nf6ba420422e545e993a4e96e09dca8f0
16 sg:journal.1135365
17 schema:name Position detection method for microwell chip on microscope stage by photon multiplier tube
18 schema:pagination 239-243
19 schema:productId Nced116b0fb18490486ee2b1a4acb5069
20 Nd5a79af65f2d45b9a7b462d3aff49329
21 Nf1bbabc2c95b4f27a1dc0902040181d3
22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038440821
23 https://doi.org/10.1007/s10015-014-0163-z
24 schema:sdDatePublished 2019-04-10T19:58
25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
26 schema:sdPublisher Na370ae489d5d43b6a121471fd7125e72
27 schema:url http://link.springer.com/10.1007%2Fs10015-014-0163-z
28 sgo:license sg:explorer/license/
29 sgo:sdDataset articles
30 rdf:type schema:ScholarlyArticle
31 N0c7c9e3fbf064441bc09986b9cf7a503 rdf:first sg:person.01044463564.50
32 rdf:rest Nba3177425dba4883937ecd050a530557
33 N14741103bbef4ce98d5712b2ddd24855 schema:volumeNumber 19
34 rdf:type schema:PublicationVolume
35 N362048932fff4db9803be2436f8a2018 rdf:first sg:person.01115456732.11
36 rdf:rest N0c7c9e3fbf064441bc09986b9cf7a503
37 N3b026903d9a2410296b405a46570d18f schema:name Lifetech CO., Ltd, 4074 Miyadera, 358-0014, Iruma-shi, Saitama, Japan
38 rdf:type schema:Organization
39 N98b6a09a64bc4aaabffe2909e0582971 rdf:first sg:person.0662121764.07
40 rdf:rest Nd2bbe500b4b140a083f41f00a5743085
41 Na370ae489d5d43b6a121471fd7125e72 schema:name Springer Nature - SN SciGraph project
42 rdf:type schema:Organization
43 Nba3177425dba4883937ecd050a530557 rdf:first sg:person.010612270053.83
44 rdf:rest rdf:nil
45 Nced116b0fb18490486ee2b1a4acb5069 schema:name dimensions_id
46 schema:value pub.1038440821
47 rdf:type schema:PropertyValue
48 Nd2bbe500b4b140a083f41f00a5743085 rdf:first sg:person.01131707703.35
49 rdf:rest Ndf3822336a8741b7a2fe3e04e3bd73c1
50 Nd5a79af65f2d45b9a7b462d3aff49329 schema:name doi
51 schema:value 10.1007/s10015-014-0163-z
52 rdf:type schema:PropertyValue
53 Ndf3822336a8741b7a2fe3e04e3bd73c1 rdf:first sg:person.01062505734.87
54 rdf:rest N362048932fff4db9803be2436f8a2018
55 Nf1bbabc2c95b4f27a1dc0902040181d3 schema:name readcube_id
56 schema:value b71d7eef4d47c354ab62858dfd70c04706dd07d20e0fd34ed044994ad03a844f
57 rdf:type schema:PropertyValue
58 Nf6ba420422e545e993a4e96e09dca8f0 schema:issueNumber 3
59 rdf:type schema:PublicationIssue
60 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
61 schema:name Physical Sciences
62 rdf:type schema:DefinedTerm
63 anzsrc-for:0299 schema:inDefinedTermSet anzsrc-for:
64 schema:name Other Physical Sciences
65 rdf:type schema:DefinedTerm
66 sg:journal.1135365 schema:issn 1433-5298
67 1614-7456
68 schema:name Artificial Life and Robotics
69 rdf:type schema:Periodical
70 sg:person.01044463564.50 schema:affiliation N3b026903d9a2410296b405a46570d18f
71 schema:familyName Takei
72 schema:givenName Osamu
73 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044463564.50
74 rdf:type schema:Person
75 sg:person.010612270053.83 schema:affiliation https://www.grid.ac/institutes/grid.412773.4
76 schema:familyName Kanasugi
77 schema:givenName Akinori
78 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010612270053.83
79 rdf:type schema:Person
80 sg:person.01062505734.87 schema:affiliation https://www.grid.ac/institutes/grid.412506.4
81 schema:familyName Ahmed
82 schema:givenName Shamim
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01062505734.87
84 rdf:type schema:Person
85 sg:person.01115456732.11 schema:affiliation https://www.grid.ac/institutes/grid.263023.6
86 schema:familyName Nishigaki
87 schema:givenName Koichi
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01115456732.11
89 rdf:type schema:Person
90 sg:person.01131707703.35 schema:affiliation https://www.grid.ac/institutes/grid.263023.6
91 schema:familyName Uchida
92 schema:givenName Hidekazu
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131707703.35
94 rdf:type schema:Person
95 sg:person.0662121764.07 schema:affiliation https://www.grid.ac/institutes/grid.412773.4
96 schema:familyName Ando
97 schema:givenName Ki
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662121764.07
99 rdf:type schema:Person
100 sg:pub.10.1007/978-1-4757-5348-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015063875
101 https://doi.org/10.1007/978-1-4757-5348-6
102 rdf:type schema:CreativeWork
103 sg:pub.10.1038/nmeth.1211 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029362798
104 https://doi.org/10.1038/nmeth.1211
105 rdf:type schema:CreativeWork
106 sg:pub.10.1186/1472-6750-10-71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050701375
107 https://doi.org/10.1186/1472-6750-10-71
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1541/ieejsmas.133.250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067812244
110 rdf:type schema:CreativeWork
111 https://www.grid.ac/institutes/grid.263023.6 schema:alternateName Saitama University
112 schema:name Saitama University, 255 Shimo-Okubo, Sakura-ku, 338-8570, Saitama-shi, Saitama, Japan
113 rdf:type schema:Organization
114 https://www.grid.ac/institutes/grid.412506.4 schema:alternateName Shahjalal University of Science and Technology
115 schema:name Shahjalal University of Science and Technology, Kumargaon, 3114, Sylhet, Bangladesh
116 rdf:type schema:Organization
117 https://www.grid.ac/institutes/grid.412773.4 schema:alternateName Tokyo Denki University
118 schema:name Tokyo Denki University, 5 Senjyu-Asahicho, 120-8551, Adachi-ku, Tokyo, Japan
119 rdf:type schema:Organization
 




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


...