Literature DB >> 21691654

Label-free imaging of cell attachment with photonic crystal enhanced microscopy.

Erich A Lidstone1, Vikram Chaudhery, Anja Kohl, Vincent Chan, Tor Wolf-Jensen, Lawrence B Schook, Rashid Bashir, Brian T Cunningham.   

Abstract

We introduce photonic crystal enhanced microscopy (PCEM) as a label-free biosensor imaging technique capable of measuring cell surface attachment and attachment modulation. The approach uses a photonic crystal optical resonator surface incorporated into conventional microplate wells and a microscope-based detection instrument that measures shifts in the resonant coupling conditions caused by localized changes in dielectric permittivity at the cell-sensor interface. Four model systems are demonstrated for studying cancer cells, primary cardiac muscle cells, and stem cells. First, HepG2/C3 hepatic carcinoma cells were cultured and observed via PCEM in order to characterize cell adhesion in the context of growth and locomotion. Second, Panc-1 pancreatic cancer cells were used to verify that cell attachment density decreases in response to staurosporine, a drug that induces apoptosis. Third, we used PCEM to confirm the influence of integrin-mediated signaling on primary neonatal cardiomyocyte growth and development. Rounded cardiomyocytes consistently showed decreased cell attachment density as recorded via PCEM, while spreading cells exhibited greater attachment strength as well as increased contractility. Finally, PCEM was used to monitor the morphological changes and extracellular matrix remodeling of porcine adipose-derived stem cells subjected to a forced differentiation protocol. Each of these experiments yielded information regarding cell attachment density without the use of potentially cytotoxic labels, enabling study of the same cells for up to several days.

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Year:  2011        PMID: 21691654     DOI: 10.1039/c1an15171a

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


  9 in total

Review 1.  High-Q optical sensors for chemical and biological analysis.

Authors:  Matthew S Luchansky; Ryan C Bailey
Journal:  Anal Chem       Date:  2011-11-23       Impact factor: 6.986

2.  Recent Advances in Biosensing With Photonic Crystal Surfaces: A Review.

Authors:  B T Cunningham; M Zhang; Y Zhuo; L Kwon; C Race
Journal:  IEEE Sens J       Date:  2015-05-05       Impact factor: 3.301

3.  Optimization of high-Q coupled nanobeam cavity for label-free sensing.

Authors:  Mohammad Tariq Yaseen; Yi-Chun Yang; Min-Hsiung Shih; Yia-Chung Chang
Journal:  Sensors (Basel)       Date:  2015-10-13       Impact factor: 3.576

4.  Multiparameter resonant imaging for studying cell interactions.

Authors:  José Juan-Colás; Thomas F Krauss
Journal:  Light Sci Appl       Date:  2018-07-25       Impact factor: 17.782

Review 5.  Microscopies Enabled by Photonic Metamaterials.

Authors:  Yanyu Xiong; Nantao Li; Congnyu Che; Weijing Wang; Priyash Barya; Weinan Liu; Leyang Liu; Xiaojing Wang; Shaoxiong Wu; Huan Hu; Brian T Cunningham
Journal:  Sensors (Basel)       Date:  2022-01-30       Impact factor: 3.576

Review 6.  Slotted photonic crystal sensors.

Authors:  Mark G Scullion; Thomas F Krauss; Andrea Di Falco
Journal:  Sensors (Basel)       Date:  2013-03-15       Impact factor: 3.576

7.  Attenuation of cell mechanosensitivity in colon cancer cells during in vitro metastasis.

Authors:  Xin Tang; Qi Wen; Theresa B Kuhlenschmidt; Mark S Kuhlenschmidt; Paul A Janmey; Taher A Saif
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

Review 8.  Label-Free Biosensor Imaging on Photonic Crystal Surfaces.

Authors:  Yue Zhuo; Brian T Cunningham
Journal:  Sensors (Basel)       Date:  2015-08-28       Impact factor: 3.576

9.  Recognition of apoptotic cells by viable cells is specific, ubiquitous, and species independent: analysis using photonic crystal biosensors.

Authors:  Goutham Pattabiraman; Erich A Lidstone; Karol Palasiewicz; Brian T Cunningham; David S Ucker
Journal:  Mol Biol Cell       Date:  2014-04-02       Impact factor: 4.138

  9 in total

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