Literature DB >> 26504626

In vivo cell characteristic extraction and identification by photoacoustic flow cytography.

Guo He1, Dong Xu1, Huan Qin2, Sihua Yang3, Da Xing2.   

Abstract

We present a photoacoustic flow cytography with fast cross-sectional (B-scan) imaging to precisely identify specific cells in vivo. The B-scan imaging speed of the system is up to 200 frame/s with a lateral resolution of 1.5 μm, which allows to dynamically image the flowing cells within the microvascular. The shape, size and photoacoustic intensity of the target cells are extracted from streaming images and integrated into a standard pattern to distinguish cell types. Circulating red blood cells and melanoma cells in blood vessels are simultaneously identified on melanoma-bearing mouse model. The results demonstrate that in vivo photoacoustic flow cytography can provide cells characteristics analysis and cell type's visual identification, which will be applied for noninvasively monitoring circulating tumor cells (CTCs) and analyzing hematologic diseases.

Entities:  

Keywords:  (110.5120) Photoacoustic imaging; (170.0180) Microscopy; (170.1530) Cell analysis

Year:  2015        PMID: 26504626      PMCID: PMC4605035          DOI: 10.1364/BOE.6.003748

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  27 in total

1.  In vivo flow cytometer for real-time detection and quantification of circulating cells.

Authors:  J Novak; I Georgakoudi; X Wei; A Prossin; C P Lin
Journal:  Opt Lett       Date:  2004-01-01       Impact factor: 3.776

2.  Analysis of red cell and platelet morphology using an imaging-combined flow cytometer.

Authors:  F Kubota
Journal:  Clin Lab Haematol       Date:  2003-04

3.  Photothermal image flow cytometry in vivo.

Authors:  Vladimir P Zharov; Ekaterina I Galanzha; Valery V Tuchin
Journal:  Opt Lett       Date:  2005-03-15       Impact factor: 3.776

4.  In vivo high-speed imaging of individual cells in fast blood flow.

Authors:  Vladimir P Zharov; Ekaterina I Galanzha; Yulian Menyaev; Valery V Tuchin
Journal:  J Biomed Opt       Date:  2006 Sep-Oct       Impact factor: 3.170

5.  Automated flow cytometric analysis across large numbers of samples and cell types.

Authors:  Xiaoyi Chen; Milena Hasan; Valentina Libri; Alejandra Urrutia; Benoît Beitz; Vincent Rouilly; Darragh Duffy; Étienne Patin; Bernard Chalmond; Lars Rogge; Lluis Quintana-Murci; Matthew L Albert; Benno Schwikowski
Journal:  Clin Immunol       Date:  2015-01-07       Impact factor: 3.969

6.  Optical clearing in photoacoustic flow cytometry.

Authors:  Yulian A Menyaev; Dmitry A Nedosekin; Mustafa Sarimollaoglu; Mazen A Juratli; Ekaterina I Galanzha; Valery V Tuchin; Vladimir P Zharov
Journal:  Biomed Opt Express       Date:  2013-11-27       Impact factor: 3.732

7.  Automated identification of circulating tumor cells by image cytometry.

Authors:  Tycho M Scholtens; Frederik Schreuder; Sjoerd T Ligthart; Joost F Swennenhuis; Jan Greve; Leon W M M Terstappen
Journal:  Cytometry A       Date:  2011-12-13       Impact factor: 4.355

8.  In vivo photoswitchable flow cytometry for direct tracking of single circulating tumor cells.

Authors:  Dmitry A Nedosekin; Vladislav V Verkhusha; Alexander V Melerzanov; Vladimir P Zharov; Ekaterina I Galanzha
Journal:  Chem Biol       Date:  2014-05-08

9.  Diagnostic value of anemia, red blood cell morphology, and reticulocyte count for sickle cell disease.

Authors:  J D Losek; T R Hellmich; G M Hoffman
Journal:  Ann Emerg Med       Date:  1992-08       Impact factor: 5.721

10.  In vivo magnetic enrichment and multiplex photoacoustic detection of circulating tumour cells.

Authors:  Ekaterina I Galanzha; Evgeny V Shashkov; Thomas Kelly; Jin-Woo Kim; Lily Yang; Vladimir P Zharov
Journal:  Nat Nanotechnol       Date:  2009-11-15       Impact factor: 39.213

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  10 in total

1.  Introduction to the novel techniques in microscopy feature issue.

Authors:  Eric O Potma; Paul Campagnola
Journal:  Biomed Opt Express       Date:  2015-10-06       Impact factor: 3.732

Review 2.  Photoacoustic Molecular Imaging: From Multiscale Biomedical Applications Towards Early-Stage Theranostics.

Authors:  Yajing Liu; Liming Nie; Xiaoyuan Chen
Journal:  Trends Biotechnol       Date:  2016-02-26       Impact factor: 19.536

3.  Multicolor multiphoton in vivo imaging flow cytometry.

Authors:  Lingjie Kong; Jianyong Tang; Meng Cui
Journal:  Opt Express       Date:  2016-03-21       Impact factor: 3.894

4.  Noninvasive and high-resolving photoacoustic dermoscopy of human skin.

Authors:  Dong Xu; Sihua Yang; Ying Wang; Ying Gu; Da Xing
Journal:  Biomed Opt Express       Date:  2016-05-04       Impact factor: 3.732

5.  Multiscale confocal photoacoustic dermoscopy to evaluate skin health.

Authors:  Haigang Ma; Zhiyang Wang; Zhongwen Cheng; Guo He; Ting Feng; Chao Zuo; Haixia Qiu
Journal:  Quant Imaging Med Surg       Date:  2022-05

Review 6.  A practical guide to photoacoustic tomography in the life sciences.

Authors:  Lihong V Wang; Junjie Yao
Journal:  Nat Methods       Date:  2016-07-28       Impact factor: 28.547

7.  Toward in vivo biopsy of melanoma based on photoacoustic and ultrasound dual imaging with an integrated detector.

Authors:  Yating Wang; Dong Xu; Sihua Yang; Da Xing
Journal:  Biomed Opt Express       Date:  2016-01-05       Impact factor: 3.732

8.  In vivo label-free photoacoustic flow cytography and on-the-spot laser killing of single circulating melanoma cells.

Authors:  Yun He; Lidai Wang; Junhui Shi; Junjie Yao; Lei Li; Ruiying Zhang; Chih-Hsien Huang; Jun Zou; Lihong V Wang
Journal:  Sci Rep       Date:  2016-12-21       Impact factor: 4.379

9.  Handheld Photoacoustic Microscopy Probe.

Authors:  Kyungjin Park; Jin Young Kim; Changho Lee; Seungwan Jeon; Geunbae Lim; Chulhong Kim
Journal:  Sci Rep       Date:  2017-10-17       Impact factor: 4.379

10.  Simultaneous acoustic and photoacoustic microfluidic flow cytometry for label-free analysis.

Authors:  Vaskar Gnyawali; Eric M Strohm; Jun-Zhi Wang; Scott S H Tsai; Michael C Kolios
Journal:  Sci Rep       Date:  2019-02-07       Impact factor: 4.379

  10 in total

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