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Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections — Macquarie University Skip to main navigation Skip to search Skip to main content Macquarie University Home Help & FAQ Home Profiles Research Units Projects Research Outputs Datasets Prizes Activities Press / Media Impacts Search by expertise, name or affiliation Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections M. G. Tetley, N. R. Daczko ARC Centre of Excellence for Core to Crust Fluid Systems (incorporation ARC National Key Centre for Geochemical evolution and Metallogeny of Continents (GEMOC)) Research output: Contribution to journal › Article › peer-review 17 Citations (Scopus) Overview Fingerprint Abstract We present a free, standalone Windows and Mac OSX desktop software tool designed to aid geoscience researchers, students and educators in rock thin-section analysis without the need for a petrographic microscope. Virtual Petrographic Microscope (VPM) allows a user to analyse prepared high-resolution images of rock thin-sections on a computer using traditional features familiar to users of microscopes including stage rotation, objective zoom and switching between plane-polarised light and crossed-polarised light. VPM includes a range of 'virtual' features not possible when analysing physical thin-sections, including auto-scaling grid overlays, and annotation of thin-section images with the ability to save, export and import annotation files for collaboration and education. A case study involved a trial of the software by an intermediate undergraduate geology class. Analysis of the final examination results shows that incorporation of the VPM tool into the class program improved skill at recognising common rock-forming minerals. Original language English Pages (from-to) 631-637 Number of pages 7 Journal Australian Journal of Earth Sciences Volume 61 Issue number 4 DOIs https://doi.org/10.1080/08120099.2014.886624 Publication status Published - 2014 Access to Document 10.1080/08120099.2014.886624 Other files and links Link to publication in Scopus Fingerprint Dive into the research topics of 'Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections'. Together they form a unique fingerprint. thin section Earth & Environmental Sciences 100% education Earth & Environmental Sciences 83% software Earth & Environmental Sciences 64% rock Earth & Environmental Sciences 47% image resolution Earth & Environmental Sciences 25% import Earth & Environmental Sciences 24% student Earth & Environmental Sciences 20% incorporation Earth & Environmental Sciences 20% View full fingerprint Cite this APA Author BIBTEX Harvard Standard RIS Vancouver Tetley, M. G., & Daczko, N. R. (2014). Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections. Australian Journal of Earth Sciences, 61(4), 631-637. https://doi.org/10.1080/08120099.2014.886624 Tetley, M. G. ; Daczko, N. R. / Virtual Petrographic Microscope : a multi-platform education and research software tool to analyse rock thin-sections. In: Australian Journal of Earth Sciences. 2014 ; Vol. 61, No. 4. pp. 631-637. @article{ae57bb0ddab143a390a5bff3e505b180, title = "Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections", abstract = "We present a free, standalone Windows and Mac OSX desktop software tool designed to aid geoscience researchers, students and educators in rock thin-section analysis without the need for a petrographic microscope. Virtual Petrographic Microscope (VPM) allows a user to analyse prepared high-resolution images of rock thin-sections on a computer using traditional features familiar to users of microscopes including stage rotation, objective zoom and switching between plane-polarised light and crossed-polarised light. VPM includes a range of 'virtual' features not possible when analysing physical thin-sections, including auto-scaling grid overlays, and annotation of thin-section images with the ability to save, export and import annotation files for collaboration and education. A case study involved a trial of the software by an intermediate undergraduate geology class. Analysis of the final examination results shows that incorporation of the VPM tool into the class program improved skill at recognising common rock-forming minerals.", author = "Tetley, {M. G.} and Daczko, {N. R.}", year = "2014", doi = "10.1080/08120099.2014.886624", language = "English", volume = "61", pages = "631--637", journal = "Australian Journal of Earth Sciences", issn = "0812-0099", publisher = "Blackwell Publishing Asia", number = "4", } Tetley, MG & Daczko, NR 2014, 'Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections', Australian Journal of Earth Sciences, vol. 61, no. 4, pp. 631-637. https://doi.org/10.1080/08120099.2014.886624 Virtual Petrographic Microscope : a multi-platform education and research software tool to analyse rock thin-sections. / Tetley, M. G.; Daczko, N. R. In: Australian Journal of Earth Sciences, Vol. 61, No. 4, 2014, p. 631-637. Research output: Contribution to journal › Article › peer-review TY - JOUR T1 - Virtual Petrographic Microscope T2 - a multi-platform education and research software tool to analyse rock thin-sections AU - Tetley, M. G. AU - Daczko, N. R. PY - 2014 Y1 - 2014 N2 - We present a free, standalone Windows and Mac OSX desktop software tool designed to aid geoscience researchers, students and educators in rock thin-section analysis without the need for a petrographic microscope. Virtual Petrographic Microscope (VPM) allows a user to analyse prepared high-resolution images of rock thin-sections on a computer using traditional features familiar to users of microscopes including stage rotation, objective zoom and switching between plane-polarised light and crossed-polarised light. VPM includes a range of 'virtual' features not possible when analysing physical thin-sections, including auto-scaling grid overlays, and annotation of thin-section images with the ability to save, export and import annotation files for collaboration and education. A case study involved a trial of the software by an intermediate undergraduate geology class. Analysis of the final examination results shows that incorporation of the VPM tool into the class program improved skill at recognising common rock-forming minerals. AB - We present a free, standalone Windows and Mac OSX desktop software tool designed to aid geoscience researchers, students and educators in rock thin-section analysis without the need for a petrographic microscope. Virtual Petrographic Microscope (VPM) allows a user to analyse prepared high-resolution images of rock thin-sections on a computer using traditional features familiar to users of microscopes including stage rotation, objective zoom and switching between plane-polarised light and crossed-polarised light. VPM includes a range of 'virtual' features not possible when analysing physical thin-sections, including auto-scaling grid overlays, and annotation of thin-section images with the ability to save, export and import annotation files for collaboration and education. A case study involved a trial of the software by an intermediate undergraduate geology class. Analysis of the final examination results shows that incorporation of the VPM tool into the class program improved skill at recognising common rock-forming minerals. UR - http://www.scopus.com/inward/record.url?scp=84904358696&partnerID=8YFLogxK U2 - 10.1080/08120099.2014.886624 DO - 10.1080/08120099.2014.886624 M3 - Article AN - SCOPUS:84904358696 VL - 61 SP - 631 EP - 637 JO - Australian Journal of Earth Sciences JF - Australian Journal of Earth Sciences SN - 0812-0099 IS - 4 ER - Tetley MG, Daczko NR. Virtual Petrographic Microscope: a multi-platform education and research software tool to analyse rock thin-sections. Australian Journal of Earth Sciences. 2014;61(4):631-637. https://doi.org/10.1080/08120099.2014.886624 Powered by Pure, Scopus & Elsevier Fingerprint Engine™ © 2022 Elsevier B.V. We use cookies to help provide and enhance our service and tailor content. 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