Spatial and temporal measurements of temperature and cell viability in response to nanoparticle-mediated photothermal therapy.
OBJECTIVE
Nanoparticle-enhanced photothermal therapy is a promising alternative to tumor resection. However, quantitative measurements of cellular response to these treatments are limited. This article introduces a Bimodal Enhanced Analysis of Spatiotemporal Temperature (BEAST) algorithm to rapidly determine the viability of cancer cells in vitro following photothermal therapy alone or in combination with nanoparticles.


METHODS
To illustrate the capability of the BEAST viability algorithm, single wall carbon nanohorns were added to renal cancer (RENCA) cells in vitro and time-dependent spatial temperature maps measured with an infrared camera during laser therapy were correlated with post-treatment cell viability distribution maps obtained by cell-staining fluorescent microscopy.


CONCLUSIONS
The BEAST viability algorithm accurately and rapidly determined the cell viability as a function of time, space and temperature.
Department of Mechanical Engineering & School of Biomedical Engineering & Sciences, Virginia Tech, VA 24061, USA. jonwhit@vt.edu
Jon R
JR
Whitney
Amanda
A
Rodgers
Erica
E
Harvie
William F
WF
Carswell
Suzy
S
Torti
Alex A
AA
Puretzky
Christopher M
CM
Rouleau
David B
DB
Geohegan
Christopher G
CG
Rylander
Marissa N
MN
Rylander
D000818:Animals; D045744:Cell Line, Tumor; D002470:Cell Survival; D007091:Image Processing, Computer-Assisted / Q000379:methods; D007668:Kidney / Q000166:cytology / Q000473:pathology*; D007680:Kidney Neoplasms / Q000473:pathology* / Q000601:surgery*; D053685:Laser Therapy; D051379:Mice; D008856:Microscopy, Fluorescence; D053758:Nanoparticles / Q000627:therapeutic use*; D013696:Temperature