Because of the softness of membrane, erythrocytes (red blood cell, RBC) have different shapes while being immersed in
buffer with different osmotic pressure. While affecting by different viruses and illnesses, RBC may change its shape, or
its membrane may become rigid. Moreover, RBC will ford and stretch when it is trapped by optical tweezers. Therefore,
the behaviors of RBC in optical tweezers raise more discussion. In this report, we set up an optical tweezers to trap RBC
of small animals like feline and canine. By adding a long working distance objective to collect the side-viewing image, a
3-D image system was constructed to detect the motion of trapped RBC. To improve the image quality for side-view, an
aperture and narrow glass plate were used. From the video of these images and their spatial spectrum, the shape of
trapped RBC was studied.
By using a combination of the Mellin radial harmonic function and the Mexican-hat wavelet transform, scale- and shift-invariant pattern recognition is reported. Without preprocessing of the input object, this filter is capable of identifying over a wide allowable scale range of 0.25 to 1. The correlation peaks are sharp, and the peak intensity is fairly uniform, with a variance below 30%. Computer simulation is adopted to investigate the performance of the filter. Experimental results implemented using a photorefractive joint-transform correlator, including those obtained under white noise, are also presented.
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