Literature DB >> 26600999

Reflectance confocal microscopy of red blood cells: simulation and experiment.

Adel Zeidan1, Dvir Yelin1.   

Abstract

Measuring the morphology of red blood cells is important for clinical diagnosis, providing valuable indications on a patient's health. In this work, we have simulated the appearance of normal red blood cells under a reflectance confocal microscope and discovered unique relations between the morphological parameters and the resulting characteristic interference patterns of the cell. The simulation results showed good agreement with in vitro reflectance confocal images of red blood cells, acquired using spectrally encoded flow cytometry that imaged the cells in a linear flow without artificial staining. By matching the simulated patterns to confocal images of the cells, this method could be used for measuring cell morphology in three dimensions and for studying their physiology.

Entities:  

Keywords:  (170.1470) Blood or tissue constituent monitoring; (170.1530) Cell analysis; (170.1790) Confocal microscopy

Year:  2015        PMID: 26600999      PMCID: PMC4646543          DOI: 10.1364/BOE.6.004335

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


  23 in total

1.  Flow cytometry using spectrally encoded confocal microscopy.

Authors:  Lior Golan; Dvir Yelin
Journal:  Opt Lett       Date:  2010-07-01       Impact factor: 3.776

2.  Spectrally encoded confocal microscopy.

Authors:  G J Tearney; R H Webb; B E Bouma
Journal:  Opt Lett       Date:  1998-08-01       Impact factor: 3.776

3.  Three-dimensional volumetric measurement of red blood cell motion using digital holographic microscopy.

Authors:  Yong-Seok Choi; Sang-Joon Lee
Journal:  Appl Opt       Date:  2009-06-01       Impact factor: 1.980

4.  Probing red blood cell morphology using high-frequency photoacoustics.

Authors:  Eric M Strohm; Elizabeth S L Berndl; Michael C Kolios
Journal:  Biophys J       Date:  2013-07-02       Impact factor: 4.033

5.  Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis.

Authors:  Ran Liu; Dipak K Dey; Daniel Boss; Pierre Marquet; Bahram Javidi
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2011-06-01       Impact factor: 2.129

6.  In vivo confocal scanning laser microscopy of human skin: melanin provides strong contrast.

Authors:  M Rajadhyaksha; M Grossman; D Esterowitz; R H Webb; R R Anderson
Journal:  J Invest Dermatol       Date:  1995-06       Impact factor: 8.551

7.  Shape and Biomechanical Characteristics of Human Red Blood Cells in Health and Disease.

Authors:  Monica Diez-Silva; Ming Dao; Jongyoon Han; Chwee-Teck Lim; Subra Suresh
Journal:  MRS Bull       Date:  2010-05       Impact factor: 6.578

Review 8.  Red blood cell morphology.

Authors:  J Ford
Journal:  Int J Lab Hematol       Date:  2013-03-09       Impact factor: 2.877

9.  Born approximation model for light scattering by red blood cells.

Authors:  Joonoh Lim; Huafeng Ding; Mustafa Mir; Ruoyu Zhu; Krishnarao Tangella; Gabriel Popescu
Journal:  Biomed Opt Express       Date:  2011-09-13       Impact factor: 3.732

10.  High frequency label-free photoacoustic microscopy of single cells.

Authors:  Eric M Strohm; Elizabeth S L Berndl; Michael C Kolios
Journal:  Photoacoustics       Date:  2013-09-24
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  5 in total

1.  In vivo label-free confocal imaging of the deep mouse brain with long-wavelength illumination.

Authors:  Fei Xia; Chunyan Wu; David Sinefeld; Bo Li; Yifan Qin; Chris Xu
Journal:  Biomed Opt Express       Date:  2018-11-29       Impact factor: 3.732

2.  Measuring sickle cell morphology during blood flow.

Authors:  Inna Kviatkovsky; Adel Zeidan; Daniella Yeheskely-Hayon; Eveline L Shabad; Eldad J Dann; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2017-02-28       Impact factor: 3.732

3.  In vitro hematocrit measurement using spectrally encoded flow cytometry.

Authors:  Adel Zeidan; Lior Golan; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2016-09-27       Impact factor: 3.732

4.  Measuring the red blood cell shape in capillary flow using spectrally encoded flow cytometry.

Authors:  Lidan Fridman; Dvir Yelin
Journal:  Biomed Opt Express       Date:  2022-08-05       Impact factor: 3.562

5.  Spectroscopic Evaluation of Red Blood Cells of Thalassemia Patients with Confocal Microscopy: A Pilot Study.

Authors:  Laura Rey-Barroso; Mónica Roldán; Francisco J Burgos-Fernández; Susanna Gassiot; Anna Ruiz Llobet; Ignacio Isola; Meritxell Vilaseca
Journal:  Sensors (Basel)       Date:  2020-07-21       Impact factor: 3.576

  5 in total

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