Literature DB >> 30343513

Evaluation of holographic imaging cytometer holomonitor M4® motility applications.

Yuntian Zhang1,2, Robert L Judson1,2.   

Abstract

Digital holographic cytometry (DHC) and other methods of quantitative phase imaging permit extended time-lapse imaging of mammalian cells in the absence of induced cellular toxicity. Manufactured DHC platforms equipped with semi-automated image acquisition, segmentation, and analysis software packages (or modules) for assessing cell behavior are now commercially available. When housed in mammalian cell incubators these cytometers offer the potential to monitor and quantify a range of cellular behaviors without disrupting routine culture. Realization of this potential requires validation against established standards. Two proprietary software modules for assessing cellular motility available using the HoloMonitor M4 DHC platform were evaluated on human melanoma cells lines with known relative motility and metastatic potential. One such software package, the Track Cells module, was run during routine culture. In addition, the Wound Healing module was conducted in parallel with established transwell migration and invasion assays. Each module was evaluated for reproducibility and correlation to established assays. Both software modules reliably recorded increased cellular motility in the metastatic 1205Lu line as compared with the non-metastatic WM793 line. In a direct comparison of the two propriety DHC software modules and two established transwell assays, the relative cell motilities were well correlated. The granularity of data provided by the Track Cells module permitted the additional identification of rare hyper-motile cells in the metastatic population and the distinction of motility from division associated displacement. The two HoloMonitor M4 DHC proprietary software modules for assessing cellular motility yielded reproducible results that were well-correlated with established standards.
© 2018 International Society for Advancement of Cytometry. © 2018 International Society for Advancement of Cytometry.

Entities:  

Keywords:  cancer cells; digital holographic cytometry; melanoma; motility

Mesh:

Year:  2018        PMID: 30343513     DOI: 10.1002/cyto.a.23635

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  4 in total

1.  Machine Learning with Optical Phase Signatures for Phenotypic Profiling of Cell Lines.

Authors:  Van K Lam; Thanh Nguyen; Thuc Phan; Byung-Min Chung; George Nehmetallah; Christopher B Raub
Journal:  Cytometry A       Date:  2019-04-22       Impact factor: 4.355

2.  Tuning Anti-Biofilm Activity of Manganese(II) Complexes: Linking Biological Effectiveness of Heteroaromatic Complexes of Alcohol, Aldehyde, Ketone, and Carboxylic Acid with Structural Effects and Redox Activity.

Authors:  Agnieszka Jabłońska-Wawrzycka; Patrycja Rogala; Grzegorz Czerwonka; Sławomir Michałkiewicz; Maciej Hodorowicz; Katarzyna Gałczyńska; Beata Cieślak; Paweł Kowalczyk
Journal:  Int J Mol Sci       Date:  2021-05-03       Impact factor: 5.923

3.  Exploiting the potential of commercial digital holographic microscopy by combining it with 3D matrix cell culture assays.

Authors:  Monica Hellesvik; Hanne Øye; Henriette Aksnes
Journal:  Sci Rep       Date:  2020-09-07       Impact factor: 4.379

4.  Mast cell tryptase enhances wound healing by promoting migration in human bronchial epithelial cells.

Authors:  Sofia Mogren; Frida Berlin; Sangeetha Ramu; Asger Sverrild; Celeste Porsbjerg; Lena Uller; Cecilia K Andersson
Journal:  Cell Adh Migr       Date:  2021-12       Impact factor: 3.405

  4 in total

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