Literature DB >> 30460122

Biophysical investigation of living monocytes in flow by collaborative coherent imaging techniques.

David Dannhauser1, Domenico Rossi1, Pasquale Memmolo2, Andrea Finizio2, Pietro Ferraro2, Paolo Antonio Netti1,3, Filippo Causa1,3.   

Abstract

We implemented a completely label-free biophysical (morphometric and optical) property characterization of living monocytes in flow, using measurements obtained from two coherent imaging techniques: a pure light scattering approach to obtain an optical signature (OS) of cells, and a digital holography (DH) approach to achieve optical cell reconstructions in flow. A precise 3D cell alignment platform, taking advantage of viscoelastic fluid properties and microfluidic channel geometry, was used to investigate the OS of cells to achieve their refractive index, ratio of the nucleus over cytoplasm, and overall cell dimension. Further quantitative phase-contrast reconstructions by DH were employed to calculate surface area, dry mass, and biovolume of monocytes by using the OS outcomes as input parameters. The results show significantly different biophysical cell properties, confirming the possibility to differentiate monocytes from other cell classes in flow, thus avoiding chemical cell staining or labeling, which are nowadays used.

Entities:  

Year:  2018        PMID: 30460122      PMCID: PMC6238935          DOI: 10.1364/BOE.9.005194

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


  34 in total

1.  Particle classification from light scattering with the scanning flow cytometer.

Authors:  A N Shvalov; I V Surovtsev; A V Chernyshev; J T Soini; V P Maltsev
Journal:  Cytometry       Date:  1999-11-01

2.  High-throughput lens-free blood analysis on a chip.

Authors:  Sungkyu Seo; Serhan O Isikman; Ikbal Sencan; Onur Mudanyali; Ting-Wei Su; Waheb Bishara; Anthony Erlinger; Aydogan Ozcan
Journal:  Anal Chem       Date:  2010-06-01       Impact factor: 6.986

Review 3.  'Go with the flow ': a review of methods and advancements in blood flow imaging.

Authors:  Susan M Daly; Martin J Leahy
Journal:  J Biophotonics       Date:  2012-06-18       Impact factor: 3.207

4.  All-plastic, miniature, digital fluorescence microscope for three part white blood cell differential measurements at the point of care.

Authors:  Alessandra Forcucci; Michal E Pawlowski; Catherine Majors; Rebecca Richards-Kortum; Tomasz S Tkaczyk
Journal:  Biomed Opt Express       Date:  2015-10-19       Impact factor: 3.732

5.  Synthetic Fourier transform light scattering.

Authors:  Kyeoreh Lee; Hyeon-Don Kim; Kyoohyun Kim; Youngchan Kim; Timothy R Hillman; Bumki Min; Yongkeun Park
Journal:  Opt Express       Date:  2013-09-23       Impact factor: 3.894

6.  Optical signature of erythrocytes by light scattering in microfluidic flows.

Authors:  D Dannhauser; D Rossi; F Causa; P Memmolo; A Finizio; T Wriedt; J Hellmers; Y Eremin; P Ferraro; P A Netti
Journal:  Lab Chip       Date:  2015-08-21       Impact factor: 6.799

7.  Red blood cell as an adaptive optofluidic microlens.

Authors:  L Miccio; P Memmolo; F Merola; P A Netti; P Ferraro
Journal:  Nat Commun       Date:  2015-03-11       Impact factor: 14.919

8.  Viscoelastic flow-focusing in microchannels: scaling properties of the particle radial distributions.

Authors:  Giovanni Romeo; Gaetano D'Avino; Francesco Greco; Paolo A Netti; Pier Luca Maffettone
Journal:  Lab Chip       Date:  2013-07-21       Impact factor: 6.799

9.  Multiplex single particle analysis in microfluidics.

Authors:  D Dannhauser; G Romeo; F Causa; I De Santo; P A Netti
Journal:  Analyst       Date:  2014-08-18       Impact factor: 4.616

10.  Imaging Cytometry of Human Leukocytes with Third Harmonic Generation Microscopy.

Authors:  Cheng-Ham Wu; Tzung-Dau Wang; Chia-Hung Hsieh; Shih-Hung Huang; Jong-Wei Lin; Szu-Chun Hsu; Hau-Tieng Wu; Yao-Ming Wu; Tzu-Ming Liu
Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

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  4 in total

1.  Label-free imaging flow cytometer for analyzing large cell populations by line-field quantitative phase microscopy with digital refocusing.

Authors:  Hidenao Yamada; Amane Hirotsu; Daisuke Yamashita; Osamu Yasuhiko; Toyohiko Yamauchi; Tsukasa Kayou; Hiroaki Suzuki; Shigetoshi Okazaki; Hirotoshi Kikuchi; Hiroya Takeuchi; Yukio Ueda
Journal:  Biomed Opt Express       Date:  2020-03-26       Impact factor: 3.732

2.  Developing a Reliable Holographic Flow Cyto-Tomography Apparatus by Optimizing the Experimental Layout and Computational Processing.

Authors:  Jaromír Běhal; Francesca Borrelli; Martina Mugnano; Vittorio Bianco; Amedeo Capozzoli; Claudio Curcio; Angelo Liseno; Lisa Miccio; Pasquale Memmolo; Pietro Ferraro
Journal:  Cells       Date:  2022-08-19       Impact factor: 7.666

3.  Single cell classification of macrophage subtypes by label-free cell signatures and machine learning.

Authors:  David Dannhauser; Domenico Rossi; Vincenza De Gregorio; Paolo Antonio Netti; Giuseppe Terrazzano; Filippo Causa
Journal:  R Soc Open Sci       Date:  2022-09-28       Impact factor: 3.653

4.  Cellular lensing and near infrared fluorescent nanosensor arrays to enable chemical efflux cytometry.

Authors:  Soo-Yeon Cho; Xun Gong; Volodymyr B Koman; Matthias Kuehne; Sun Jin Moon; Manki Son; Tedrick Thomas Salim Lew; Pavlo Gordiichuk; Xiaojia Jin; Hadley D Sikes; Michael S Strano
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

  4 in total

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