Computer Vision in Chemistry: Automatic Titration
A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure o...
Gespeichert in:
Veröffentlicht in: | Journal of chemical education 2021-12, Vol.98 (12), p.4067-4073 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 4073 |
---|---|
container_issue | 12 |
container_start_page | 4067 |
container_title | Journal of chemical education |
container_volume | 98 |
creator | Kosenkov, Yana Kosenkov, Dmitri |
description | A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure of titration has been chosen, since it is well-known to students who completed general chemistry or similar foundation chemistry courses. A significant advantage of CV-based automation is the use of open-source software and readily available electronic devices, as no expensive specialized equipment or proprietary software is required. The experiment can be performed remotely, either live online or with prerecorded videos. The reported technology is accessible to virtually any educational institution as well as to individuals. The proposed technology provides affordable and safe means for remote execution of titration experiments for students with disabilities. Therefore, the proposed experiment is suitable for traditional laboratory instruction as well as remote synchronous or asynchronous course delivery which gained practical importance during the COVID-19 pandemic. Finally, the proposed CV-based automation opens a new realm of opportunities for rethinking traditional chemistry procedures where computer vision is used to improve performance of standard laboratory instruments and techniques. |
doi_str_mv | 10.1021/acs.jchemed.1c00810 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2615427556</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ1319482</ericid><sourcerecordid>2615427556</sourcerecordid><originalsourceid>FETCH-LOGICAL-a384t-c6c7fb71517ee66aee7e209d6452ee5dabe67152da70b6e5b720f596fe567d8d3</originalsourceid><addsrcrecordid>eNp9kMtKw0AUhgdRsFafQISA67RzJplL3JVQbxTcVLfDZHKCU0xSZ5JF397RVJeuzoH_Bh8h10AXQBksjQ2LnX3HFusFWEoV0BMygyJTKWRMnZIZjba04Co_Jxch7CgFxgs1I1D27X4c0CdvLri-S1yXlLHIhcEf7pLVOPStGZxNtm7w8em7S3LWmI-AV8c7J6_36235mG5eHp7K1SY1mcqH1Aorm0oCB4kohEGUyGhRi5wzRF6bCkVUWW0krQTySjLa8EI0yIWsVZ3Nye3Uu_f954hh0Lt-9F2c1EwAz5nkXERXNrms70Pw2Oi9d63xBw1Uf7PRkY0-stFHNjF1M6XQO_uXWD9DBkWuWNSXk_4T_p39r_ELwuVzOQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2615427556</pqid></control><display><type>article</type><title>Computer Vision in Chemistry: Automatic Titration</title><source>ACS Publications</source><creator>Kosenkov, Yana ; Kosenkov, Dmitri</creator><creatorcontrib>Kosenkov, Yana ; Kosenkov, Dmitri</creatorcontrib><description>A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure of titration has been chosen, since it is well-known to students who completed general chemistry or similar foundation chemistry courses. A significant advantage of CV-based automation is the use of open-source software and readily available electronic devices, as no expensive specialized equipment or proprietary software is required. The experiment can be performed remotely, either live online or with prerecorded videos. The reported technology is accessible to virtually any educational institution as well as to individuals. The proposed technology provides affordable and safe means for remote execution of titration experiments for students with disabilities. Therefore, the proposed experiment is suitable for traditional laboratory instruction as well as remote synchronous or asynchronous course delivery which gained practical importance during the COVID-19 pandemic. Finally, the proposed CV-based automation opens a new realm of opportunities for rethinking traditional chemistry procedures where computer vision is used to improve performance of standard laboratory instruments and techniques.</description><identifier>ISSN: 0021-9584</identifier><identifier>EISSN: 1938-1328</identifier><identifier>DOI: 10.1021/acs.jchemed.1c00810</identifier><language>eng</language><publisher>Easton: American Chemical Society and Division of Chemical Education, Inc</publisher><subject>Asynchronous Communication ; Automation ; Chemistry ; College students ; Computer Software ; Computer Uses in Education ; Computer vision ; Computers ; COVID-19 ; Disabilities ; Disorders ; Distance Education ; Educational Technology ; Electronic devices ; Laboratory Procedures ; Laboratory Training ; Nanotechnology ; Open source software ; Open Source Technology ; Organic Chemistry ; Pandemics ; Science Experiments ; Science Laboratories ; Software ; Students ; Students with disabilities ; Synchronous Communication ; Titration ; Undergraduate Students ; Undergraduate study ; Vision</subject><ispartof>Journal of chemical education, 2021-12, Vol.98 (12), p.4067-4073</ispartof><rights>Published 2021 by American Chemical Society and Division of Chemical Education, Inc.</rights><rights>Copyright American Chemical Society Dec 14, 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a384t-c6c7fb71517ee66aee7e209d6452ee5dabe67152da70b6e5b720f596fe567d8d3</citedby><cites>FETCH-LOGICAL-a384t-c6c7fb71517ee66aee7e209d6452ee5dabe67152da70b6e5b720f596fe567d8d3</cites><orcidid>0000-0003-0187-3308</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.jchemed.1c00810$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.jchemed.1c00810$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2763,27075,27923,27924,56737,56787</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ1319482$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Kosenkov, Yana</creatorcontrib><creatorcontrib>Kosenkov, Dmitri</creatorcontrib><title>Computer Vision in Chemistry: Automatic Titration</title><title>Journal of chemical education</title><addtitle>J. Chem. Educ</addtitle><description>A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure of titration has been chosen, since it is well-known to students who completed general chemistry or similar foundation chemistry courses. A significant advantage of CV-based automation is the use of open-source software and readily available electronic devices, as no expensive specialized equipment or proprietary software is required. The experiment can be performed remotely, either live online or with prerecorded videos. The reported technology is accessible to virtually any educational institution as well as to individuals. The proposed technology provides affordable and safe means for remote execution of titration experiments for students with disabilities. Therefore, the proposed experiment is suitable for traditional laboratory instruction as well as remote synchronous or asynchronous course delivery which gained practical importance during the COVID-19 pandemic. Finally, the proposed CV-based automation opens a new realm of opportunities for rethinking traditional chemistry procedures where computer vision is used to improve performance of standard laboratory instruments and techniques.</description><subject>Asynchronous Communication</subject><subject>Automation</subject><subject>Chemistry</subject><subject>College students</subject><subject>Computer Software</subject><subject>Computer Uses in Education</subject><subject>Computer vision</subject><subject>Computers</subject><subject>COVID-19</subject><subject>Disabilities</subject><subject>Disorders</subject><subject>Distance Education</subject><subject>Educational Technology</subject><subject>Electronic devices</subject><subject>Laboratory Procedures</subject><subject>Laboratory Training</subject><subject>Nanotechnology</subject><subject>Open source software</subject><subject>Open Source Technology</subject><subject>Organic Chemistry</subject><subject>Pandemics</subject><subject>Science Experiments</subject><subject>Science Laboratories</subject><subject>Software</subject><subject>Students</subject><subject>Students with disabilities</subject><subject>Synchronous Communication</subject><subject>Titration</subject><subject>Undergraduate Students</subject><subject>Undergraduate study</subject><subject>Vision</subject><issn>0021-9584</issn><issn>1938-1328</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKw0AUhgdRsFafQISA67RzJplL3JVQbxTcVLfDZHKCU0xSZ5JF397RVJeuzoH_Bh8h10AXQBksjQ2LnX3HFusFWEoV0BMygyJTKWRMnZIZjba04Co_Jxch7CgFxgs1I1D27X4c0CdvLri-S1yXlLHIhcEf7pLVOPStGZxNtm7w8em7S3LWmI-AV8c7J6_36235mG5eHp7K1SY1mcqH1Aorm0oCB4kohEGUyGhRi5wzRF6bCkVUWW0krQTySjLa8EI0yIWsVZ3Nye3Uu_f954hh0Lt-9F2c1EwAz5nkXERXNrms70Pw2Oi9d63xBw1Uf7PRkY0-stFHNjF1M6XQO_uXWD9DBkWuWNSXk_4T_p39r_ELwuVzOQ</recordid><startdate>20211214</startdate><enddate>20211214</enddate><creator>Kosenkov, Yana</creator><creator>Kosenkov, Dmitri</creator><general>American Chemical Society and Division of Chemical Education, Inc</general><general>Division of Chemical Education, Inc</general><general>American Chemical Society</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><orcidid>https://orcid.org/0000-0003-0187-3308</orcidid></search><sort><creationdate>20211214</creationdate><title>Computer Vision in Chemistry: Automatic Titration</title><author>Kosenkov, Yana ; Kosenkov, Dmitri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a384t-c6c7fb71517ee66aee7e209d6452ee5dabe67152da70b6e5b720f596fe567d8d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Asynchronous Communication</topic><topic>Automation</topic><topic>Chemistry</topic><topic>College students</topic><topic>Computer Software</topic><topic>Computer Uses in Education</topic><topic>Computer vision</topic><topic>Computers</topic><topic>COVID-19</topic><topic>Disabilities</topic><topic>Disorders</topic><topic>Distance Education</topic><topic>Educational Technology</topic><topic>Electronic devices</topic><topic>Laboratory Procedures</topic><topic>Laboratory Training</topic><topic>Nanotechnology</topic><topic>Open source software</topic><topic>Open Source Technology</topic><topic>Organic Chemistry</topic><topic>Pandemics</topic><topic>Science Experiments</topic><topic>Science Laboratories</topic><topic>Software</topic><topic>Students</topic><topic>Students with disabilities</topic><topic>Synchronous Communication</topic><topic>Titration</topic><topic>Undergraduate Students</topic><topic>Undergraduate study</topic><topic>Vision</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kosenkov, Yana</creatorcontrib><creatorcontrib>Kosenkov, Dmitri</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><jtitle>Journal of chemical education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kosenkov, Yana</au><au>Kosenkov, Dmitri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1319482</ericid><atitle>Computer Vision in Chemistry: Automatic Titration</atitle><jtitle>Journal of chemical education</jtitle><addtitle>J. Chem. Educ</addtitle><date>2021-12-14</date><risdate>2021</risdate><volume>98</volume><issue>12</issue><spage>4067</spage><epage>4073</epage><pages>4067-4073</pages><issn>0021-9584</issn><eissn>1938-1328</eissn><abstract>A novel technology that employs computer vision (CV) to carry out an automatic titration experiment is presented. The experiment is designed to facilitate understanding of the basics of the CV technology and its application in chemistry among undergraduate students. The standard chemical procedure of titration has been chosen, since it is well-known to students who completed general chemistry or similar foundation chemistry courses. A significant advantage of CV-based automation is the use of open-source software and readily available electronic devices, as no expensive specialized equipment or proprietary software is required. The experiment can be performed remotely, either live online or with prerecorded videos. The reported technology is accessible to virtually any educational institution as well as to individuals. The proposed technology provides affordable and safe means for remote execution of titration experiments for students with disabilities. Therefore, the proposed experiment is suitable for traditional laboratory instruction as well as remote synchronous or asynchronous course delivery which gained practical importance during the COVID-19 pandemic. Finally, the proposed CV-based automation opens a new realm of opportunities for rethinking traditional chemistry procedures where computer vision is used to improve performance of standard laboratory instruments and techniques.</abstract><cop>Easton</cop><pub>American Chemical Society and Division of Chemical Education, Inc</pub><doi>10.1021/acs.jchemed.1c00810</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-0187-3308</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0021-9584 |
ispartof | Journal of chemical education, 2021-12, Vol.98 (12), p.4067-4073 |
issn | 0021-9584 1938-1328 |
language | eng |
recordid | cdi_proquest_journals_2615427556 |
source | ACS Publications |
subjects | Asynchronous Communication Automation Chemistry College students Computer Software Computer Uses in Education Computer vision Computers COVID-19 Disabilities Disorders Distance Education Educational Technology Electronic devices Laboratory Procedures Laboratory Training Nanotechnology Open source software Open Source Technology Organic Chemistry Pandemics Science Experiments Science Laboratories Software Students Students with disabilities Synchronous Communication Titration Undergraduate Students Undergraduate study Vision |
title | Computer Vision in Chemistry: Automatic Titration |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T22%3A35%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Computer%20Vision%20in%20Chemistry:%20Automatic%20Titration&rft.jtitle=Journal%20of%20chemical%20education&rft.au=Kosenkov,%20Yana&rft.date=2021-12-14&rft.volume=98&rft.issue=12&rft.spage=4067&rft.epage=4073&rft.pages=4067-4073&rft.issn=0021-9584&rft.eissn=1938-1328&rft_id=info:doi/10.1021/acs.jchemed.1c00810&rft_dat=%3Cproquest_cross%3E2615427556%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2615427556&rft_id=info:pmid/&rft_ericid=EJ1319482&rfr_iscdi=true |