9:00 AM - 9:15 AM
[10a-M116-1] Monte Carlo Microscopy: Proposal and Demonstration
Keywords:scanning microscopy, Raman scattering microscopy, Image synthesis
I have invented an unconventional method of scanning microscope based on statistics and stochastic process theory. The method mimics the human's behavior of finding unknown places in a large map and animals's hunting their prey from a large area. In the method, starting points of searching are given by a given random distribution (the first layer), and the scanning starts to diffuse the search area based on a given stochastic process (the second layer). The diffusion area of scanning is limited by the entropy of local information of the sample. The method is effective to samples that scatter or emit extremely weak signals from a large scale and requires a fast image detection. One of typical examples is Raman scattering microscopy. I will show experimental results of Raman scattering images with the proposed method and will discuss the effectiveness of the method in compared to the conventional scanning method of laser scanning microscope.