Literature DB >> 27067644

Raman spectroscopy as a tool for label-free lymphocyte cell line discrimination.

Alison J Hobro1, Yutaro Kumagai, Shizuo Akira, Nicholas I Smith.   

Abstract

Unactivated lymphocytes are morphologically identical and biochemically relatively similar, making them difficult to distinguish from one another with conventional light microscopy. Here, we use Raman spectroscopy to provide biochemical information on the composition of different lymphocyte cell lines. As could be expected, the biochemical differences measured with Raman spectroscopy between lymphocyte cell lines are small, but in combination with partial least squares discriminant analysis it is possible not only to distinguish between T- and B-cells, but also between individual T-cell and B-cell lines.

Mesh:

Year:  2016        PMID: 27067644     DOI: 10.1039/c6an00181e

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  9 in total

1.  Discrimination of radiosensitive and radioresistant murine lymphoma cells by Raman spectroscopy and SERS.

Authors:  Iris Aguilar-Hernández; Diana L Cárdenas-Chavez; Tzarara López-Luke; Alejandra García-García; Marcela Herrera-Domínguez; Eduardo Pisano; Nancy Ornelas-Soto
Journal:  Biomed Opt Express       Date:  2019-12-23       Impact factor: 3.732

2.  Single Cell Imaging of Nuclear Architecture Changes.

Authors:  Rikke Brandstrup Morrish; Michael Hermes; Jeremy Metz; Nicholas Stone; Stefano Pagliara; Richard Chahwan; Francesca Palombo
Journal:  Front Cell Dev Biol       Date:  2019-07-24

3.  Single Cell Label-Free Probing of Chromatin Dynamics During B Lymphocyte Maturation.

Authors:  Rikke Morrish; Kevin Ho Wai Yim; Stefano Pagliara; Francesca Palombo; Richard Chahwan; Nicholas Stone
Journal:  Front Cell Dev Biol       Date:  2021-03-26

Review 4.  Raman spectroscopy and regenerative medicine: a review.

Authors:  Katherine J I Ember; Marieke A Hoeve; Sarah L McAughtrie; Mads S Bergholt; Benjamin J Dwyer; Molly M Stevens; Karen Faulds; Stuart J Forbes; Colin J Campbell
Journal:  NPJ Regen Med       Date:  2017-05-15

5.  Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Authors:  Jonghee Yoon; YoungJu Jo; Min-Hyeok Kim; Kyoohyun Kim; SangYun Lee; Suk-Jo Kang; YongKeun Park
Journal:  Sci Rep       Date:  2017-07-27       Impact factor: 4.379

6.  Multimodal discrimination of immune cells using a combination of Raman spectroscopy and digital holographic microscopy.

Authors:  Naomi McReynolds; Fiona G M Cooke; Mingzhou Chen; Simon J Powis; Kishan Dholakia
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

7.  Non-invasive cell classification using the Paint Raman Express Spectroscopy System (PRESS).

Authors:  Yuka Akagi; Nobuhito Mori; Teruhisa Kawamura; Yuzo Takayama; Yasuyuki S Kida
Journal:  Sci Rep       Date:  2021-04-23       Impact factor: 4.379

8.  Confocal Raman Spectral Imaging Study of DAPT, a γ-secretase Inhibitor, Induced Physiological and Biochemical Reponses in Osteosarcoma Cells.

Authors:  Jie Li; Rui Wang; Jie Qin; Haishan Zeng; Kaige Wang; Qingli He; Difan Wang; Shuang Wang
Journal:  Int J Med Sci       Date:  2020-02-10       Impact factor: 3.738

9.  Leukocyte Activation Profile Assessed by Raman Spectroscopy Helps Diagnosing Infection and Sepsis.

Authors:  Anuradha Ramoji; Daniel Thomas-Rüddel; Oleg Ryabchykov; Michael Bauer; Natalie Arend; Evangelos J Giamarellos-Bourboulis; Jesper Eugen-Olsen; Michael Kiehntopf; Thomas Bocklitz; Jürgen Popp; Frank Bloos; Ute Neugebauer
Journal:  Crit Care Explor       Date:  2021-05-12
  9 in total

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