Three-dimensional reconstruction method based on single phase diagram

A technology of 3D reconstruction and phase map, applied in nuclear method, 3D modeling, image data processing, etc., can solve the problems of complicated process, time-consuming, huge data volume, etc., achieve less data collection, convenient storage, and easy implementation Effect

Pending Publication Date: 2022-04-15
JIANGSU UNIV
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Problems solved by technology

[0003] Aiming at the deficiencies in the prior art, the present invention provides a three-dimensional reconstruction method based on a single phase image, which overcomes the shortcomings of the existing phase volume three-dimensional reconstruction method, such as huge data volume, long time-consuming, complex implementation process, etc.

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  • Three-dimensional reconstruction method based on single phase diagram
  • Three-dimensional reconstruction method based on single phase diagram
  • Three-dimensional reconstruction method based on single phase diagram

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Embodiment

[0043] The training process of this embodiment is:

[0044] In this embodiment, the training data set comes from a single phase image of polystyrene microsphere samples of 80 different environmental fluids, and the pixel size of the single phase image is 256*256; in this embodiment, the machine learning model is a random forest model, and the training The loss value is below 0.001 and the training time is 100 minutes.

[0045] The testing process of this embodiment is:

[0046] The test data set sample in this embodiment is: red blood cells whose environmental fluid is physiological saline, the pixel size of a single phase image of the test data set sample is 96*96, and the prediction reconstruction process is about 0.2s.

[0047] In the step (1) of this embodiment, the sample phase imaging is as follows figure 2 As shown, the sample phase map obtained by BioPhase quantitative phase microscopy imaging; figure 2 The gradient extracted by the Laplace operator gradient of th...

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Abstract

The invention provides a three-dimensional reconstruction method based on a single phase diagram, which comprises the following steps: constructing a training data set and a test data set, the training data set is composed of single phase diagrams of polystyrene microsphere samples processed in Olympus lens oil, sodium chloride solutions with different concentrations and ultrapure water environment liquid, and the test data set is composed of single phase diagrams of polystyrene microsphere samples processed in the Olympus lens oil, sodium chloride solutions with different concentrations and ultrapure water environment liquid; the test data set is single phase diagram data of polystyrene microsphere samples and red blood cell samples which do not appear in the training data set; and importing the training data set into the machine learning model for training, and predicting by using the test data set to obtain the three-dimensional structure morphology of the substructure biological cells. The method solves the problems of huge data volume, too long time consumption, complex implementation process and the like in the prior art.

Description

technical field [0001] The invention belongs to the technical field of phase microscopic imaging, and in particular relates to a fast three-dimensional shape reconstruction method of a phase body based on a single phase image and machine learning. Background technique [0002] Biological cells are the basic units of organism structure and life activities. The morphological structure of the cell is closely related to the physiological activities and functions of the cell. For example, the morphological structure of the cell will change in the process of proliferation, division, metabolism and canceration. state. Therefore, the study of cell morphology is of great significance in life, health and cell biology. However, most cells are colorless and transparent, and are phase objects, which are difficult to image with traditional microscopes. Quantitative Phase Microscopy (QPM) technology can modulate the non-directly visible phase information in light waves into amplitude in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00G06N20/10
CPCG06T17/00G06N20/10
Inventor 黄锦槟尚梦园韦鑫宇龚凌冉季颖
Owner JIANGSU UNIV
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