File Download
  Links for fulltext
     (May Require Subscription)

Article: Multi-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution

TitleMulti-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution
Authors
Keywordsmicrofluidics
quantitative phase imaging
single‐cell imaging
ultrafast imaging
Issue Date2019
PublisherWiley-VCH Verlag. The Journal's web site is located at http://www.wiley-vch.de/en/shop/journals/368
Citation
Journal of Biophotonics, 2019, v. 12 n. 7, p. article no. e201800479 How to Cite?
AbstractA growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost‐effective and label‐free cellular assays, which provides useful insights into understanding the biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single‐cell precision to define cell identities in a large and heterogeneous population of cells—hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multiplexed asymmetric‐detection time‐stretch optical microscopy (multi‐ATOM) that captures and processes quantitative label‐free single‐cell images at ultrahigh throughput without compromising subcellular resolution. We show that multi‐ATOM, based upon ultrafast phase‐gradient encoding, outperforms state‐of‐the‐art QPI in permitting robust phase retrieval at a QPI throughput of >10 000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi‐ATOM for large‐scale, label‐free, multivariate, cell‐type classification (e.g. breast cancer subtypes, and leukemic cells vs peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi‐ATOM could empower new strategies in large‐scale biophysical single‐cell analysis with applications in biology and enriching disease diagnostics.
Persistent Identifierhttp://hdl.handle.net/10722/293216
ISSN
2020 Impact Factor: 3.207
2015 SCImago Journal Rankings: 1.204
PubMed Central ID

 

DC FieldValueLanguage
dc.contributor.authorLee, CM-
dc.contributor.authorLau, KSA-
dc.contributor.authorTang, AHL-
dc.contributor.authorWANG, M-
dc.contributor.authorMok, ATY-
dc.contributor.authorChung, BMF-
dc.contributor.authorYan, W-
dc.contributor.authorShum, HC-
dc.contributor.authorCheah, KSE-
dc.contributor.authorChan, GCF-
dc.contributor.authorSo, HKH-
dc.contributor.authorWong, KKY-
dc.contributor.authorTsia, KKM-
dc.date.accessioned2020-11-23T08:13:30Z-
dc.date.available2020-11-23T08:13:30Z-
dc.date.issued2019-
dc.identifier.citationJournal of Biophotonics, 2019, v. 12 n. 7, p. article no. e201800479-
dc.identifier.issn1864-063X-
dc.identifier.urihttp://hdl.handle.net/10722/293216-
dc.description.abstractA growing body of evidence has substantiated the significance of quantitative phase imaging (QPI) in enabling cost‐effective and label‐free cellular assays, which provides useful insights into understanding the biophysical properties of cells and their roles in cellular functions. However, available QPI modalities are limited by the loss of imaging resolution at high throughput and thus run short of sufficient statistical power at the single‐cell precision to define cell identities in a large and heterogeneous population of cells—hindering their utility in mainstream biomedicine and biology. Here we present a new QPI modality, coined multiplexed asymmetric‐detection time‐stretch optical microscopy (multi‐ATOM) that captures and processes quantitative label‐free single‐cell images at ultrahigh throughput without compromising subcellular resolution. We show that multi‐ATOM, based upon ultrafast phase‐gradient encoding, outperforms state‐of‐the‐art QPI in permitting robust phase retrieval at a QPI throughput of >10 000 cell/sec, bypassing the need for interferometry which inevitably compromises QPI quality under ultrafast operation. We employ multi‐ATOM for large‐scale, label‐free, multivariate, cell‐type classification (e.g. breast cancer subtypes, and leukemic cells vs peripheral blood mononuclear cells) at high accuracy (>94%). Our results suggest that multi‐ATOM could empower new strategies in large‐scale biophysical single‐cell analysis with applications in biology and enriching disease diagnostics.-
dc.languageeng-
dc.publisherWiley-VCH Verlag. The Journal's web site is located at http://www.wiley-vch.de/en/shop/journals/368-
dc.relation.ispartofJournal of Biophotonics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectmicrofluidics-
dc.subjectquantitative phase imaging-
dc.subjectsingle‐cell imaging-
dc.subjectultrafast imaging-
dc.titleMulti-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution-
dc.typeArticle-
dc.identifier.emailLee, CM: cmleehku@connect.hku.hk-
dc.identifier.emailShum, HC: ashum@hku.hk-
dc.identifier.emailCheah, KSE: hrmbdkc@hku.hk-
dc.identifier.emailChan, GCF: gcfchan@hku.hk-
dc.identifier.emailSo, HKH: hso@eee.hku.hk-
dc.identifier.emailWong, KKY: kywong@eee.hku.hk-
dc.identifier.emailTsia, KKM: tsia@hku.hk-
dc.identifier.authorityShum, HC=rp01439-
dc.identifier.authorityCheah, KSE=rp00342-
dc.identifier.authorityChan, GCF=rp00431-
dc.identifier.authoritySo, HKH=rp00169-
dc.identifier.authorityWong, KKY=rp00189-
dc.identifier.authorityTsia, KKM=rp01389-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1002/jbio.201800479-
dc.identifier.pmid30719868-
dc.identifier.pmcidPMC7065649-
dc.identifier.scopuseid_2-s2.0-85063695842-
dc.identifier.hkuros318997-
dc.identifier.volume12-
dc.identifier.issue7-
dc.identifier.spagearticle no. e201800479-
dc.identifier.epagearticle no. e201800479-
dc.publisher.placeGermany-
dc.identifier.issnl1864-063X-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats