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Using Digital Holographic Microscopy (DHM) we can gather information from a whole volume and thus we can avoid the small depth of field constraint of the conventional microscopes. This way a volume inspection system can be constructed, which is capable to find, segment, collect, and later classify those objects that flow through an inspection chamber. Digital hologram reconstruction and processing,...
A new digital holographic microscope is developed and used to detect and identify microscopic organisms. Our demonstration setup shows the efficiency of this new kind of microscopy and provides insight how CNN can be used as an image processing framework to preprocess the gained data.
Optical cellular wave computer (POAC) is one demanding implementation of the cellular neural network (CNN) theory. Its fundamental operation is correlation; hence optical correlators are the best candidates to perform as its core optical processor. This manuscript consists of three main parts: (1) comparison of the traditional correlators (joint Fourier transform and VanderLugt) and our novel searching...
We have developed a novel type of correlators named searching correlator (SC) (Tokes et al., 2003) using bacteriorhodopsin (BR) as a dynamic rewritable and multiply readable holographic material. Our POAC (programmable optical array computer) model can perform highly parallel optical correlations and feedforward CNN operations. However, to keep pace with digital technologies (Moore's law); newer,...
Optics is offering the ultimate processing speed of light and complete parallelism. Programmable optical array/analogic computer (POAC) is one advanced optical cellular neural networks (CNN) implementation. This work reviews the previous contributions of POAC and provides an optical template library as micro operations for this parallel optical processor
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