Literature DB >> 23913514

Hyperspectral enhanced dark field microscopy for imaging blood cells.

Giulia Sacco Verebes1, Michele Melchiorre, Adianez Garcia-Leis, Carla Ferreri, Carla Marzetti, Armida Torreggiani.   

Abstract

In this work, a novel methodology based on hyperspectral imagery with enhanced Darkfield microscopy for probing and characterizing changes in blood cell components was tested. Two main categories of blood cells were analyzed, red and white blood cells. Unique spectral signatures of ordinary and most common deformed morphologies of red blood cells were identified. Moreover, examination of white blood cells allowed to characterize and differentiate active from inactive cells. The findings indicate the ability of this technique to detect changes in light scattering property of blood cells due to their morphological properties Since pathological states can alterate the discocyte shape, this preliminary, but promising application of the hyperspectral analysis to blood cells can be useful to evaluate significant correlations of blood cell spectral features in healthy and pathological conditions. The combination of the quali- and quantitative spectral signatures of hyperspectral imaging microscopy with the information of the subject health conditions may provide a new tool for clinical applications.
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  dark field microscopy; granulocytes; hyperspectral imaging; red blood cell

Mesh:

Year:  2013        PMID: 23913514     DOI: 10.1002/jbio.201300067

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  9 in total

1.  Spectral-spatial feature-based neural network method for acute lymphoblastic leukemia cell identification via microscopic hyperspectral imaging technology.

Authors:  Qian Wang; Jianbiao Wang; Mei Zhou; Qingli Li; Yiting Wang
Journal:  Biomed Opt Express       Date:  2017-05-19       Impact factor: 3.732

Review 2.  Optical hyperspectral imaging in microscopy and spectroscopy - a review of data acquisition.

Authors:  Liang Gao; R Theodore Smith
Journal:  J Biophotonics       Date:  2014-09-03       Impact factor: 3.207

Review 3.  Single-Cell Analysis Using Hyperspectral Imaging Modalities.

Authors:  Nishir Mehta; Shahensha Shaik; Ram Devireddy; Manas Ranjan Gartia
Journal:  J Biomech Eng       Date:  2018-02-01       Impact factor: 2.097

4.  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

5.  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

6.  Contamination detection by optical measurements in a real-life environment: A hospital case study.

Authors:  Jenni Inkinen; Merja Ahonen; Evgenia Iakovleva; Pasi Karppinen; Eelis Mielonen; Riika Mäkinen; Katriina Mannonen; Juha Koivisto
Journal:  J Biophotonics       Date:  2019-11-06       Impact factor: 3.207

7.  High predictive values of RBC membrane-based diagnostics by biophotonics in an integrated approach for Autism Spectrum Disorders.

Authors:  Giorgia Giacometti; Carla Ferreri; Anna Sansone; Chryssostomos Chatgilialoglu; Carla Marzetti; Ellas Spyratou; Alexandros G Georgakilas; Marina Marini; Provvidenza M Abruzzo; Alessandra Bolotta; Alessandro Ghezzo; Renato Minguzzi; Annio Posar; Paola Visconti
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

Review 8.  Hyperspectral-Enhanced Dark Field Microscopy for Single and Collective Nanoparticle Characterization in Biological Environments.

Authors:  Paula Zamora-Perez; Dionysia Tsoutsi; Ruixue Xu; Pilar Rivera Gil
Journal:  Materials (Basel)       Date:  2018-02-06       Impact factor: 3.623

9.  Programmable hyperspectral microscopy for high-contrast biomedical imaging in a snapshot.

Authors:  Jiao Lu; Yuetian Ren; Zhuoyu Zhang; Wenbin Xu; Xiaoyu Cui; Shuo Chen; Yudong Yao
Journal:  J Biomed Opt       Date:  2020-05       Impact factor: 3.170

  9 in total

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