Literature DB >> 25637284

Induction of morphological changes in death-induced cancer cells monitored by holographic microscopy.

Zahra El-Schich1, Anna Mölder2, Helena Tassidis3, Pirkko Härkönen4, Maria Falck Miniotis1, Anette Gjörloff Wingren5.   

Abstract

We are using the label-free technique of holographic microscopy to analyze cellular parameters including cell number, confluence, cellular volume and area directly in the cell culture environment. We show that death-induced cells can be distinguished from untreated counterparts by the use of holographic microscopy, and we demonstrate its capability for cell death assessment. Morphological analysis of two representative cell lines (L929 and DU145) was performed in the culture flasks without any prior cell detachment. The two cell lines were treated with the anti-tumour agent etoposide for 1-3days. Measurements by holographic microscopy showed significant differences in average cell number, confluence, volume and area when comparing etoposide-treated with untreated cells. The cell volume of the treated cell lines was initially increased at early time-points. By time, cells decreased in volume, especially when treated with high doses of etoposide. In conclusion, we have shown that holographic microscopy allows label-free and completely non-invasive morphological measurements of cell growth, viability and death. Future applications could include real-time monitoring of these holographic microscopy parameters in cells in response to clinically relevant compounds.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cell death; Cell morphology; Digital holographic microscopy; Imaging; Viability; Volume

Mesh:

Substances:

Year:  2015        PMID: 25637284     DOI: 10.1016/j.jsb.2015.01.010

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  5 in total

1.  Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning.

Authors:  Van K Lam; Thanh C Nguyen; Byung M Chung; George Nehmetallah; Christopher B Raub
Journal:  Cytometry A       Date:  2017-12-28       Impact factor: 4.355

2.  Supervised classification of etoposide-treated in vitro adherent cells based on noninvasive imaging morphology.

Authors:  Anna Leida Mölder; Johan Persson; Zahra El-Schich; Silvester Czanner; Anette Gjörloff-Wingren
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-25

3.  High accuracy label-free classification of single-cell kinetic states from holographic cytometry of human melanoma cells.

Authors:  Miroslav Hejna; Aparna Jorapur; Jun S Song; Robert L Judson
Journal:  Sci Rep       Date:  2017-09-20       Impact factor: 4.379

4.  Whole-Cell Multiparameter Assay for Ricin and Abrin Activity-Based Digital Holographic Microscopy.

Authors:  Efi Makdasi; Orly Laskar; Elad Milrot; Ofir Schuster; Shlomo Shmaya; Shmuel Yitzhaki
Journal:  Toxins (Basel)       Date:  2019-03-22       Impact factor: 4.546

5.  An optical study of drug resistance detection in endometrial cancer cells by dynamic and quantitative phase imaging.

Authors:  Tian Yao; Runyu Cao; Wen Xiao; Feng Pan; Xiaoping Li
Journal:  J Biophotonics       Date:  2019-04-02       Impact factor: 3.207

  5 in total

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