ABSTRACT

Stoyan Tanev Integrative Innovation Management Unit, Department of Industrial and Civil Engineering, University of Southern Denmark, Niels Bohrs Alle 1, DK-5230 Odense M, Denmark 1

Wenbo Sun Science Systems and Applications, Inc., USA

James Pond Lumerical Solutions, Vancouver, BC, Canada

Valery V. Tuchin Research-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov, 410012, Russia, Institute of Precise Mechanics and Control of RAS, Saratov 410028, Russia

1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2 Formulation of the FDTD Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 FDTD Simulation Results of Light Scattering Patterns from Single Cells . . . . . . . . . . . . . . . . . . 19 1.4 FDTD Simulation Results of OPCM Nanobioimaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Acknowledgment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

This chapter describes the mathematical formulation of the Finite-Difference Time-Domain (FDTD) approach and provides examples of its applications to biomedical photonics problems. The applications focus on two different configurations – light scattering from single biological cells and Optical Phase Contrast Microscope (OPCM) imaging of cells containing gold nanoparticles. The validation of the FDTD approach for the simulation of OPCM imaging opens a new application area with a significant research potential – the design and modeling of advanced nanobioimaging instrumentation.