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

A technology of matrix decomposition and speckle noise, which is applied in measurement devices, material analysis, and material analysis through optical means, can solve the problem that the system is difficult to deal with speckle noise, periodic fringe interference, etc. The effect of resolution and high-precision dynamic 3D imaging

Active Publication Date: 2018-09-21
NANJING UNIV
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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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  • Matrix decomposition-based lensless holographic microscopic speckle noise removing method and device
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  • Matrix decomposition-based lensless holographic microscopic speckle noise removing method and device

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Embodiment Construction

[0029] see figure 1 , the present invention removes the speckle noise method in holographic microscopic imaging, and the steps are as follows:

[0030] S1: Turn off the light source, and use the sensor 3 to capture dark field images under dark room conditions (without ambient stray light). Lensless holographic microscopy device for capturing images see figure 2 , including coherent light source 1, sensor 3 and so on. The irradiation range of the light source covers the entire effective photosensitive area of ​​the sensor 3 .

[0031] S2: Turn on the light source, and collect bright field images under uniform illumination of the light source under dark room conditions (without ambient stray light).

[0032] S3: Place sample 2 (solution sample or other samples) above sensor 3 . The distance from sample 2 to sensor 3 is much smaller than the distance from sample 2 to coherent light source 1 . On the one hand, this makes the incident wave propagating from the sample 2 to the...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/01G03H1/04G03H1/32
CPCG01N21/01G03H1/0486G03H1/32
Inventor 曹汛华夏黄烨杨程闫锋
Owner NANJING UNIV
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