Inselect: Automating the Digitization of Natural History Collections

Hdl Handle:
http://hdl.handle.net/10141/617358
Title:
Inselect: Automating the Digitization of Natural History Collections
Authors:
Hudson, LN ( 0000-0003-4072-7469 ) ; Blagoderov, V ( 0000-0001-8684-8421 ) ; Heaton, A; Holtzhausen, P; Livermore, L ( 0000-0002-7341-1842 ) ; Price, BW ( 0000-0001-5497-4087 ) ; van der Walt, S; Smith, VS ( 0000-0001-5297-7452 )
Abstract:
The world’s natural history collections constitute an enormous evidence base for scientific research on the natural world. To facilitate these studies and improve access to collections, many organisations are embarking on major programmes of digitization. This requires automated approaches to mass-digitization that support rapid imaging of specimens and associated data capture, in order to process the tens of millions of specimens common to most natural history collections. In this paper we present Inselect—a modular, easy-to-use, cross-platform suite of open-source software tools that supports the semi-automated processing of specimen images generated by natural history digitization programmes. The software is made up of a Windows, Mac OS X, and Linux desktop application, together with command-line tools that are designed for unattended operation on batches of images. Blending image visualisation algorithms that automatically recognise specimens together with workflows to support post-processing tasks such as barcode reading, label transcription and metadata capture, Inselect fills a critical gap to increase the rate of specimen digitization.
Citation:
Hudson LN, Blagoderov V, Heaton A, Holtzhausen P, Livermore L, Price BW, et al. (2015) Inselect: Automating the Digitization of Natural History Collections. PLoS ONE 10(11): e0143402. doi:10.1371/journal.pone.0143402
Publisher:
PLOS
Journal:
PLOS ONE
Issue date:
23-Nov-2015
URI:
http://hdl.handle.net/10141/617358
DOI:
10.1371/journal.pone.0143402
Submitted date:
2016-03-22
Type:
Journal Article
Item Description:
Copyright: © 2015 Hudson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file is the published version of the article.
Subject Terms:
Moths and butterflies Imaging techniques Insects Software tools Image processing Ingestion Museum collections; Computer software; Imaging techniques; Insects; Software tools; Image processing; Ingestion; Museum collections
ISSN:
1932-6203
Appears in Collections:
Life sciences; Core research labs and consulting

Full metadata record

DC FieldValue Language
dc.contributor.authorHudson, LNen
dc.contributor.authorBlagoderov, Ven
dc.contributor.authorHeaton, Aen
dc.contributor.authorHoltzhausen, Pen
dc.contributor.authorLivermore, Len
dc.contributor.authorPrice, BWen
dc.contributor.authorvan der Walt, Sen
dc.contributor.authorSmith, VSen
dc.date.accessioned2016-07-22T14:43:06Z-
dc.date.available2016-07-22T14:43:06Z-
dc.date.issued2015-11-23-
dc.date.submitted2016-03-22-
dc.identifier.citationHudson LN, Blagoderov V, Heaton A, Holtzhausen P, Livermore L, Price BW, et al. (2015) Inselect: Automating the Digitization of Natural History Collections. PLoS ONE 10(11): e0143402. doi:10.1371/journal.pone.0143402en
dc.identifier.issn1932-6203-
dc.identifier.doi10.1371/journal.pone.0143402-
dc.identifier.urihttp://hdl.handle.net/10141/617358-
dc.descriptionCopyright: © 2015 Hudson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file is the published version of the article.en
dc.description.abstractThe world’s natural history collections constitute an enormous evidence base for scientific research on the natural world. To facilitate these studies and improve access to collections, many organisations are embarking on major programmes of digitization. This requires automated approaches to mass-digitization that support rapid imaging of specimens and associated data capture, in order to process the tens of millions of specimens common to most natural history collections. In this paper we present Inselect—a modular, easy-to-use, cross-platform suite of open-source software tools that supports the semi-automated processing of specimen images generated by natural history digitization programmes. The software is made up of a Windows, Mac OS X, and Linux desktop application, together with command-line tools that are designed for unattended operation on batches of images. Blending image visualisation algorithms that automatically recognise specimens together with workflows to support post-processing tasks such as barcode reading, label transcription and metadata capture, Inselect fills a critical gap to increase the rate of specimen digitization.en
dc.language.isoenen
dc.publisherPLOSen
dc.relation.urihttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143402en_US
dc.rightsopenAccess-
dc.subjectMoths and butterflies Imaging techniques Insects Software tools Image processing Ingestion Museum collectionsen
dc.subjectComputer softwareen
dc.subjectImaging techniquesen
dc.subjectInsectsen
dc.subjectSoftware toolsen
dc.subjectImage processingen
dc.subjectIngestionen
dc.subjectMuseum collectionsen
dc.titleInselect: Automating the Digitization of Natural History Collectionsen
dc.typeJournal Articleen
dc.identifier.journalPLOS ONEen
dc.identifier.volume10en
dc.identifier.issue11en
pubs.organisational-group/Natural History Museumen
pubs.organisational-group/Natural History Museum/Science Groupen
pubs.organisational-group/Natural History Museum/Science Group/Core Research Laboratoriesen
pubs.organisational-group/Natural History Museum/Science Group/Core Research Laboratories/Imaging and Analysis Centre (IAC)en
pubs.organisational-group/Natural History Museum/Science Group/Functional groupsen
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Collectionsen
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Facilities Supporten
pubs.organisational-group/Natural History Museum/Science Group/Functional groups/Researchen
pubs.organisational-group/Natural History Museum/Science Group/Life Sciencesen
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences/Diversity and Informaticsen
pubs.organisational-group/Natural History Museum/Science Group/Life Sciences/Insectsen
dc.embargoNot knownen_US
dc.description.nhmCopyright: © 2015 Hudson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file is the published version of the article.-
dc.subject.nhmMoths and butterflies Imaging techniques Insects Software tools Image processing Ingestion Museum collections; Computer software; Imaging techniques; Insects; Software tools; Image processing; Ingestion; Museum collections-
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