Supplementary Video 2. Fast, versatile and quantitative annotation of complex images
Supplementary Video 2. Fast, versatile and quantitative annotation of complex images Representative example reconstruction of worm behavior. Segmented images from raw data are on left, with purely algorithmic reconstruction in center, and consensus annotation-based reconstruction on right (only for...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Format: | Video |
| Sprache: | eng |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Bates, Kathleen Jiang, Shen Chaudhary, Shivesh Jackson-Holmes, Emily Jue, Melinda L McCaskey, Erin Goldman, Daniel I Lu, Hang |
| description | Supplementary Video 2. Fast, versatile and quantitative annotation of complex images Representative example reconstruction of worm behavior. Segmented images from raw data are on left, with purely algorithmic reconstruction in center, and consensus annotation-based reconstruction on right (only for complex or ambiguous frames). Although algorithmic reconstruction is visually more accurate in many frames, annotation-based reconstruction produces accurate results even in frames that are inaccurately segmented or in cases where the algorithm performs poorly. Movie is at half speed from original 30 fps. |
| doi_str_mv | 10.25402/btn.8223347 |
| format | Video |
| fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_25402_btn_8223347</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_25402_btn_8223347</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_25402_btn_82233473</originalsourceid><addsrcrecordid>eNqVjkEOgjAQRbtxYdSdB5gDIELB6N5I3EvcNqMMpgm02A5Ebm8xXMDV__l5-XlCbNMkloc8kfsHm_gkZZblx6Uob33XNdSSYXQj3HVFFmQMBXqOYCDnkXVDgKaCd4-GNYdhmAZjp2oN2Bqetg0vH9AtvsivxaLGxtNmzpWIikt5vu4qZHxqJtW5QLpRpYn6SakgpWap7E_8C7P1RQo</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>video</recordtype></control><display><type>video</type><title>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images</title><source>DataCite</source><creator>Bates, Kathleen ; Jiang, Shen ; Chaudhary, Shivesh ; Jackson-Holmes, Emily ; Jue, Melinda L ; McCaskey, Erin ; Goldman, Daniel I ; Lu, Hang</creator><creatorcontrib>Bates, Kathleen ; Jiang, Shen ; Chaudhary, Shivesh ; Jackson-Holmes, Emily ; Jue, Melinda L ; McCaskey, Erin ; Goldman, Daniel I ; Lu, Hang</creatorcontrib><description>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images Representative example reconstruction of worm behavior. Segmented images from raw data are on left, with purely algorithmic reconstruction in center, and consensus annotation-based reconstruction on right (only for complex or ambiguous frames). Although algorithmic reconstruction is visually more accurate in many frames, annotation-based reconstruction produces accurate results even in frames that are inaccurately segmented or in cases where the algorithm performs poorly. Movie is at half speed from original 30 fps.</description><identifier>DOI: 10.25402/btn.8223347</identifier><language>eng</language><publisher>Taylor & Francis</publisher><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.25402/btn.8223347$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Bates, Kathleen</creatorcontrib><creatorcontrib>Jiang, Shen</creatorcontrib><creatorcontrib>Chaudhary, Shivesh</creatorcontrib><creatorcontrib>Jackson-Holmes, Emily</creatorcontrib><creatorcontrib>Jue, Melinda L</creatorcontrib><creatorcontrib>McCaskey, Erin</creatorcontrib><creatorcontrib>Goldman, Daniel I</creatorcontrib><creatorcontrib>Lu, Hang</creatorcontrib><title>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images</title><description>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images Representative example reconstruction of worm behavior. Segmented images from raw data are on left, with purely algorithmic reconstruction in center, and consensus annotation-based reconstruction on right (only for complex or ambiguous frames). Although algorithmic reconstruction is visually more accurate in many frames, annotation-based reconstruction produces accurate results even in frames that are inaccurately segmented or in cases where the algorithm performs poorly. Movie is at half speed from original 30 fps.</description><fulltext>true</fulltext><rsrctype>video</rsrctype><creationdate>2019</creationdate><recordtype>video</recordtype><sourceid>PQ8</sourceid><recordid>eNqVjkEOgjAQRbtxYdSdB5gDIELB6N5I3EvcNqMMpgm02A5Ebm8xXMDV__l5-XlCbNMkloc8kfsHm_gkZZblx6Uob33XNdSSYXQj3HVFFmQMBXqOYCDnkXVDgKaCd4-GNYdhmAZjp2oN2Bqetg0vH9AtvsivxaLGxtNmzpWIikt5vu4qZHxqJtW5QLpRpYn6SakgpWap7E_8C7P1RQo</recordid><startdate>20190604</startdate><enddate>20190604</enddate><creator>Bates, Kathleen</creator><creator>Jiang, Shen</creator><creator>Chaudhary, Shivesh</creator><creator>Jackson-Holmes, Emily</creator><creator>Jue, Melinda L</creator><creator>McCaskey, Erin</creator><creator>Goldman, Daniel I</creator><creator>Lu, Hang</creator><general>Taylor & Francis</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20190604</creationdate><title>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images</title><author>Bates, Kathleen ; Jiang, Shen ; Chaudhary, Shivesh ; Jackson-Holmes, Emily ; Jue, Melinda L ; McCaskey, Erin ; Goldman, Daniel I ; Lu, Hang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_25402_btn_82233473</frbrgroupid><rsrctype>videos</rsrctype><prefilter>videos</prefilter><language>eng</language><creationdate>2019</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Bates, Kathleen</creatorcontrib><creatorcontrib>Jiang, Shen</creatorcontrib><creatorcontrib>Chaudhary, Shivesh</creatorcontrib><creatorcontrib>Jackson-Holmes, Emily</creatorcontrib><creatorcontrib>Jue, Melinda L</creatorcontrib><creatorcontrib>McCaskey, Erin</creatorcontrib><creatorcontrib>Goldman, Daniel I</creatorcontrib><creatorcontrib>Lu, Hang</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bates, Kathleen</au><au>Jiang, Shen</au><au>Chaudhary, Shivesh</au><au>Jackson-Holmes, Emily</au><au>Jue, Melinda L</au><au>McCaskey, Erin</au><au>Goldman, Daniel I</au><au>Lu, Hang</au><genre>unknown</genre><ristype>VIDEO</ristype><title>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images</title><date>2019-06-04</date><risdate>2019</risdate><abstract>Supplementary Video 2. Fast, versatile and quantitative annotation of complex images Representative example reconstruction of worm behavior. Segmented images from raw data are on left, with purely algorithmic reconstruction in center, and consensus annotation-based reconstruction on right (only for complex or ambiguous frames). Although algorithmic reconstruction is visually more accurate in many frames, annotation-based reconstruction produces accurate results even in frames that are inaccurately segmented or in cases where the algorithm performs poorly. Movie is at half speed from original 30 fps.</abstract><pub>Taylor & Francis</pub><doi>10.25402/btn.8223347</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | DOI: 10.25402/btn.8223347 |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_datacite_primary_10_25402_btn_8223347 |
| source | DataCite |
| title | Supplementary Video 2. Fast, versatile and quantitative annotation of complex images |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T22%3A03%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:&rft.genre=unknown&rft.au=Bates,%20Kathleen&rft.date=2019-06-04&rft_id=info:doi/10.25402/btn.8223347&rft_dat=%3Cdatacite_PQ8%3E10_25402_btn_8223347%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |