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dc.contributor.authorLi, Pei-Nan
dc.contributor.authorLi, Hong
dc.contributor.authorWu, Mo-Li
dc.contributor.authorWang, Shou-Yu
dc.contributor.authorKong, Qing-You
dc.contributor.authorZhang, Zhen
dc.contributor.authorSun, Yuan
dc.contributor.authorLiu, Jia
dc.contributor.authorLv, De-Cheng
dc.contributor.editorMcNeil, Paul L.
dc.date.accessioned2012-10-26T16:40:51Z
dc.date.available2012-10-26T16:40:51Z
dc.date.issued2012-05-30en_US
dc.identifier.citationPLoS One. 2012 May 30; 7(5):e38069en_US
dc.identifier.issn1932-6203en_US
dc.identifier.pmid22666449en_US
dc.identifier.doi10.1371/journal.pone.0038069en_US
dc.identifier.urihttp://hdl.handle.net/10675.2/713
dc.description.abstractWound measurement is an objective and direct way to trace the course of wound healing and to evaluate therapeutic efficacy. Nevertheless, the accuracy and efficiency of the current measurement methods need to be improved. Taking the advantages of reliability of transparency tracing and the accuracy of computer-aided digital imaging, a transparency-based digital imaging approach is established, by which data from 340 wound tracing were collected from 6 experimental groups (8 rats/group) at 8 experimental time points (Day 1, 3, 5, 7, 10, 12, 14 and 16) and orderly archived onto a transparency model sheet. This sheet was scanned and its image was saved in JPG form. Since a set of standard area units from 1 mm2 to 1 cm2 was integrated into the sheet, the tracing areas in JPG image were measured directly, using the â Magnetic lasso toolâ in Adobe Photoshop program. The pixel values/PVs of individual outlined regions were obtained and recorded in an average speed of 27 second/region. All PV data were saved in an excel form and their corresponding areas were calculated simultaneously by the formula of Y (PV of the outlined region)/X (PV of standard area unit) Ã Z (area of standard unit). It took a researcher less than 3 hours to finish area calculation of 340 regions. In contrast, over 3 hours were expended by three skillful researchers to accomplish the above work with traditional transparency-based method. Moreover, unlike the results obtained traditionally, little variation was found among the data calculated by different persons and the standard area units in different sizes and shapes. Given its accurate, reproductive and efficient properties, this transparency-based digital imaging approach would be of significant values in basic wound healing research and clinical practice.
dc.rightsLi 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.en_US
dc.subjectResearch Articleen_US
dc.subjectBiologyen_US
dc.subjectModel Organismsen_US
dc.subjectAnimal Modelsen_US
dc.subjectRaten_US
dc.subjectEngineeringen_US
dc.subjectSignal Processingen_US
dc.subjectImage Processingen_US
dc.subjectQuantizationen_US
dc.subjectMedicineen_US
dc.subjectAnatomy and Physiologyen_US
dc.subjectSkinen_US
dc.subjectSurgeryen_US
dc.subjectOrthopedic Surgeryen_US
dc.subjectTrauma Surgeryen_US
dc.titleA Cost-Effective Transparency-Based Digital Imaging for Efficient and Accurate Wound Area Measurementen_US
dc.typeArticleen_US
dc.identifier.pmcidPMC3364188en_US
dc.contributor.corporatenameDepartment of Cellular Biology and Anatomy
refterms.dateFOA2019-04-10T00:39:21Z
html.description.abstractWound measurement is an objective and direct way to trace the course of wound healing and to evaluate therapeutic efficacy. Nevertheless, the accuracy and efficiency of the current measurement methods need to be improved. Taking the advantages of reliability of transparency tracing and the accuracy of computer-aided digital imaging, a transparency-based digital imaging approach is established, by which data from 340 wound tracing were collected from 6 experimental groups (8 rats/group) at 8 experimental time points (Day 1, 3, 5, 7, 10, 12, 14 and 16) and orderly archived onto a transparency model sheet. This sheet was scanned and its image was saved in JPG form. Since a set of standard area units from 1 mm2 to 1 cm2 was integrated into the sheet, the tracing areas in JPG image were measured directly, using the â Magnetic lasso toolâ in Adobe Photoshop program. The pixel values/PVs of individual outlined regions were obtained and recorded in an average speed of 27 second/region. All PV data were saved in an excel form and their corresponding areas were calculated simultaneously by the formula of Y (PV of the outlined region)/X (PV of standard area unit) Ã Z (area of standard unit). It took a researcher less than 3 hours to finish area calculation of 340 regions. In contrast, over 3 hours were expended by three skillful researchers to accomplish the above work with traditional transparency-based method. Moreover, unlike the results obtained traditionally, little variation was found among the data calculated by different persons and the standard area units in different sizes and shapes. Given its accurate, reproductive and efficient properties, this transparency-based digital imaging approach would be of significant values in basic wound healing research and clinical practice.


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