Matrix decomposition-based lensless holographic microscopic speckle noise removing method and device

Abstract

The invention discloses a matrix decomposition-based lensless holographic microscopic speckle noise removing method and a matrix decomposition-based lensless holographic microscopic speckle noise removing device. The matrix decomposition-based lensless holographic microscopic speckle noise removing method comprises the following steps: S1, turning off a light source, and acquiring a dark field image; S2, turning on the light source, and acquiring a bright field image under uniform irradiation of the light source; S3, placing a particle-containing solution sample above a sensor, guaranteeing that the distance from the sample to the sensor is much smaller than the distance from the sample to the light source, turning on the light source, and acquiring a holographic image sequence of the sample; S4, performing flat field correction on any hologram image required to be calculated; S5, performing noise separation on the corrected holographic image by a matrix decomposition algorithm, and decomposing the corrected holographic image into two parts, namely a particle hologram part and a background noise part; S6, further performing image analysis and processing on the calculated holographic image. Through the matrix decomposition-based lensless holographic microscopic speckle noise removing method and the matrix decomposition-based lensless holographic microscopic speckle noise removing device, the speckle noise as well as interference fringe noise generated by multiple reflections of the sample can be removed, so that high-precision dynamic 3D imaging is achieved.

Description

technical field [0001] The invention belongs to the field of lensless microscopy, in particular to a method and device for removing speckle noise in holographic microscopic imaging. Background technique [0002] A large number of existing and emerging applications will benefit from the positioning, characterization or tracking of particle motion, such as the positioning and tracking of colloidal balls, nanorods, protein aggregates, etc. in the fields of biomedicine, fluid mechanics and soft matter, water quality detection Characterization of pollutants in the environment, etc. [0003] Previous research on particle tracking and characterization was based on a standard inverted optical microscope, replacing the traditional incandescent illuminator and condenser with a collimated, attenuated HeNe laser. A conventional eyepiece is used to magnify the interference pattern, and a grayscale camera is used to record the hologram. However, this technique suffers from the mutual tr...

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Problems solved by technology

[0005] However, in previous studies, the system was difficult to deal with speckle noise and periodic fringe interference caused by reflection inside the sample. Under the influence of noise interference, only rough imaging of the sample could be achieved.

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