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dc.contributor.authorLucocq, John Milton
dc.contributor.authorHacker, Christian
dc.date.accessioned2014-12-22T13:31:04Z
dc.date.available2014-12-22T13:31:04Z
dc.date.issued2013-09
dc.identifier158198394
dc.identifier44d26e30-0f5d-4027-8b4b-61bad765f7f0
dc.identifier23881027
dc.identifier84884318836
dc.identifier.citationLucocq , J M & Hacker , C 2013 , ' Cutting a fine figure : On the use of thin sections in electron microscopy to quantify autophagy ' , Autophagy , vol. 9 , no. 9 , pp. 1443-1448 . https://doi.org/10.4161/auto.25570en
dc.identifier.issn1554-8635
dc.identifier.otherORCID: /0000-0002-5191-0093/work/64361265
dc.identifier.urihttps://hdl.handle.net/10023/5952
dc.description.abstractOver the last few years, two guideline articles have been published with recommendations for assessing autophagy. These articles contained advice on quantification of autophagy by electron microscopy and proposed using thin slices for quantifying autophagic structures. Here, we expand on what can and cannot be quantified using single 2D slices and give some suggestions for efficient and minimally biased approaches for quantifying this fascinating and important process. We recommend that the journal Autophagy follow other journals in demanding stringent random sampling design and application of unbiased design-based quantification when reviewing submitted manuscripts.
dc.format.extent6
dc.format.extent725426
dc.language.isoeng
dc.relation.ispartofAutophagyen
dc.subjectAnimalsen
dc.subjectAutophagyen
dc.subjectHumansen
dc.subjectMicroscopy, Electronen
dc.subjectMicrotomyen
dc.subjectOrganelle Sizeen
dc.subjectQH426 Geneticsen
dc.subject.lccQH426en
dc.titleCutting a fine figure : On the use of thin sections in electron microscopy to quantify autophagyen
dc.typeJournal articleen
dc.contributor.sponsorThe Wellcome Trusten
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.identifier.doi10.4161/auto.25570
dc.description.statusPeer revieweden
dc.identifier.grantnumber089803/B/09/Zen


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