Literature DB >> 31453006

Label-free characterization of white blood cells using fluorescence lifetime imaging and flow-cytometry: molecular heterogeneity and erythrophagocytosis [Invited].

Boris P Yakimov1, Maria A Gogoleva1, Alexey N Semenov1, Sergey A Rodionov2, Marina V Novoselova3, Alexey V Gayer1, Alexey V Kovalev2, Alexey I Bernakevich2, Victor V Fadeev1, Artashes G Armaganov4, Vladimir P Drachev3,5, Dmitry A Gorin3, Maxim E Darvin6, Vladislav I Shcheslavskiy7, Gleb S Budylin8, Alexander V Priezzhev1, Evgeny A Shirshin1,9.   

Abstract

Blood cell analysis is one of the standard clinical tests. Despite the widespread use of exogenous markers for blood cell quantification, label-free optical methods are still of high demand due to their possibility for in vivo application and signal specific to the biochemical state of the cell provided by native fluorophores. Here we report the results of blood cell characterization using label-free fluorescence imaging techniques and flow-cytometry. Autofluorescence parameters of different cell types - white blood cells, red blood cells, erythrophagocytic cells - are assessed and analyzed in terms of molecular heterogeneity and possibilities of differentiation between different cell types in vitro and in vivo.

Year:  2019        PMID: 31453006      PMCID: PMC6701549          DOI: 10.1364/BOE.10.004220

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


  13 in total

1.  Label-free hematology analysis using deep-ultraviolet microscopy.

Authors:  Ashkan Ojaghi; Gabriel Carrazana; Christina Caruso; Asad Abbas; David R Myers; Wilbur A Lam; Francisco E Robles
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-19       Impact factor: 11.205

2.  Label-free hematology analysis method based on defocusing phase-contrast imaging under illumination of 415 nm light.

Authors:  Duan Chen; Ning Li; Xiuli Liu; Shaoqun Zeng; Xiaohua Lv; Li Chen; Yuwei Xiao; Qinglei Hu
Journal:  Biomed Opt Express       Date:  2022-08-15       Impact factor: 3.562

3.  Label-free imaging of M1 and M2 macrophage phenotypes in the human dermis in vivo using two-photon excited FLIM.

Authors:  Marius Kröger; Jörg Scheffel; Evgeny A Shirshin; Johannes Schleusener; Martina C Meinke; Jürgen Lademann; Marcus Maurer; Maxim E Darvin
Journal:  Elife       Date:  2022-10-06       Impact factor: 8.713

4.  A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment.

Authors:  Brian M Burkel; David R Inman; María Virumbrales-Muñoz; Erica J Hoffmann; Suzanne M Ponik
Journal:  J Vis Exp       Date:  2022-05-24       Impact factor: 1.424

5.  Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects.

Authors:  Vanta J Jameson; Tina Luke; Yuting Yan; Angela Hind; Maximilien Evrard; Kevin Man; Laura K Mackay; Axel Kallies; Jose A Villadangos; Hamish E G McWilliam; Alexis Perez-Gonzalez
Journal:  Cytometry A       Date:  2022-03-29       Impact factor: 4.714

6.  A Review of New High-Throughput Methods Designed for Fluorescence Lifetime Sensing From Cells and Tissues.

Authors:  Aric Bitton; Jesus Sambrano; Samantha Valentino; Jessica P Houston
Journal:  Front Phys       Date:  2021-04-26

7.  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

8.  The Oxidation-Induced Autofluorescence Hypothesis: Red Edge Excitation and Implications for Metabolic Imaging.

Authors:  Alexey N Semenov; Boris P Yakimov; Anna A Rubekina; Dmitry A Gorin; Vladimir P Drachev; Mikhail P Zarubin; Alexander N Velikanov; Juergen Lademann; Victor V Fadeev; Alexander V Priezzhev; Maxim E Darvin; Evgeny A Shirshin
Journal:  Molecules       Date:  2020-04-17       Impact factor: 4.411

Review 9.  Imaging Platelet Processes and Function-Current and Emerging Approaches for Imaging in vitro and in vivo.

Authors:  Samantha J Montague; Yean J Lim; Woei M Lee; Elizabeth E Gardiner
Journal:  Front Immunol       Date:  2020-01-31       Impact factor: 7.561

10.  Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.

Authors:  Zijie J Wang; Alex J Walsh; Melissa C Skala; Anthony Gitter
Journal:  J Biophotonics       Date:  2019-12-15       Impact factor: 3.207

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