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dc.contributor.authorFRICKER, MARKD
dc.contributor.authorMOGER, JULIAN
dc.contributor.authorLittlejohn, George
dc.contributor.authorDEEKS, MICHAELJ
dc.date.accessioned2017-05-24T19:04:02Z
dc.date.available2017-05-24T19:04:02Z
dc.date.issued2016-08
dc.identifier.issn0022-2720
dc.identifier.issn1365-2818
dc.identifier.urihttp://hdl.handle.net/10026.1/9336
dc.description.abstract

<jats:title>Summary</jats:title><jats:p>Cell theory has officially reached 350 years of age as the first use of the word ‘cell’ in a biological context can be traced to a description of plant material by Robert Hooke in his historic publication ‘Micrographia: or some physiological definitions of minute bodies’. The 2015 Royal Microscopical Society Botanical Microscopy meeting was a celebration of the streams of investigation initiated by Hooke to understand at the subcellular scale how plant cell function and form arises. Much of the work presented, and Honorary Fellowships awarded, reflected the advanced application of bioimaging informatics to extract quantitative data from micrographs that reveal dynamic molecular processes driving cell growth and physiology. The field has progressed from collecting many pixels in multiple modes to associating these measurements with objects or features that are meaningful biologically. The additional complexity involves object identification that draws on a different type of expertise from computer science and statistics that is often impenetrable to biologists. There are many useful tools and approaches being developed, but we now need more interdisciplinary exchange to use them effectively. In this review we show how this quiet revolution has provided tools available to any personal computer user. We also discuss the oft‐neglected issue of quantifying algorithm robustness and the exciting possibilities offered through the integration of physiological information generated by biosensors with object detection and tracking.</jats:p>

dc.format.extent181-191
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherWiley
dc.subjectBioimaging informatics
dc.subjectbotanical microscopy
dc.subjectlive-cell imaging
dc.titleMaking microscopy count: quantitative light microscopy of dynamic processes in living plants
dc.typejournal-article
dc.typeJournal Article
dc.typeResearch Support, Non-U.S. Gov't
dc.typeReview
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000379967600008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue2
plymouth.volume263
plymouth.publication-statusPublished
plymouth.journalJournal of Microscopy
dc.identifier.doi10.1111/jmi.12403
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA06 Agriculture, Veterinary and Food Science
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeEngland
dcterms.dateAccepted2016-02-16
dc.identifier.eissn1365-2818
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1111/jmi.12403
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2016-08
rioxxterms.typeJournal Article/Review


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