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公开(公告)号：US11487096B2
公开(公告)日：2022-11-01
申请号：US17294322
申请日：2019-07-05
Applicant: Nanjing University of Science and Technology
Inventor： Qian Chen , Chao Zuo , Yao Fan , Jiasong Sun , Jiaji Li , Shijie Feng , Yuzhen Zhang
Abstract: The patent discloses a differential phase contrast (DPC) quantitative phase microscopy method based on the optimal illumination pattern design. Firstly, the optimal illumination pattern corresponding to the isotropic phase transfer function of DPC quantitative phase imaging is derived, which is determined as a semi-annular illumination pattern with the illumination numerical aperture NAill equal to the numerical aperture NAobj of the objective lens. The illumination intensity distribution varies with the cosine of the illumination angle, and it can be expressed as S(θ)=cos(θ). This patent effectively compensates for the frequency loss of phase transfer, not only the high-frequency responses of PTF are enhanced, but also the transfer responses of low-frequency phase information is significantly improved. As a result, the optimal illumination scheme ensures the correctness and achieves high resolution phase reconstruction, while the number of illuminations is reduced to a minimum of two, which greatly increases the imaging speed, allowing for real-time dynamic, high-correctness, high-resolution phase imaging results.
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公开(公告)号：US11106029B2
公开(公告)日：2021-08-31
申请号：US16496548
申请日：2018-02-26
Applicant: NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Qian Chen , Chao Zuo , Jiasong Sun , Shijie Feng , Yuzhen Zhang , Guohua Gu
Abstract: An annular-irradiation high-resolution quantitative phase microimaging based on light intensity transfer equation is proposed here includes designing an annular aperture for the imaging system illumination; invoking the weak object approximation by using the parameters of annular illumination aperture and bright field microscopy to calculate a weak object optical transfer function (WOTF) on the basis of a partially coherent imaging theory; and collecting three intensity images by a camera and obtaining the quantitative phase image of object by resolving the light intensity transfer equation with a deconvolution algorithm.
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公开(公告)号：US11893719B2
公开(公告)日：2024-02-06
申请号：US17766088
申请日：2020-08-18
Applicant: NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Qian Chen , Yao Fan , Chao Zuo , Jiasong Sun , Xiangpeng Pan , Shijie Feng , Yuzhen Zhang , Guohua Gu , Jiaji Li , Jialin Zhang
CPC classification number: G06T5/50 , G02B21/367
Abstract: A single-shot differential phase contrast quantitative phase imaging method based on color multiplexing illumination. A color multiplexing illumination solution is used to realize single-shot differential phase contrast quantitative phase imaging. In the single-shot color multiplexing illumination solution, three illumination wavelengths of red, green, and blue are used to simultaneously illuminate a sample, and the information of the sample in multiple directions is converted into intensity information on different channels of a color image. By performing channel separation on this color image, the information about the sample at different spatial frequencies can be obtained. Such a color multiplexing illumination solution requires only one acquired image, thus enhancing the transfer response of the phase transfer function of single-shot differential phase contrast imaging in the entire frequency range, and achieving real-time dynamic quantitative phase imaging with a high contrast, a high resolution, and a high stability. In addition, an alternate illumination strategy is provided, so that a completely isotropic imaging resolution at the limit acquisition speed of the camera can be achieved.
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公开(公告)号：US10911672B2
公开(公告)日：2021-02-02
申请号：US16496845
申请日：2018-02-26
Applicant: Nanjing University of Science and Technology
Inventor： Qian Chen , Chao Zuo , Shijie Feng , Jiasong Sun , Yuzhen Zhang , Guohua Gu
IPC: H04N13/246 , H04N5/232 , H04N13/239 , G01B11/25
Abstract: A highly efficient three-dimensional image acquisition method based on multi-mode composite encoding and epipolar constraint, respectively using a fast imaging mode or a high-precision imaging mode, wherein in the fast imaging mode, two phase maps having different frequencies are obtained by four stripe gratings, and a high-frequency absolute phase is obtained by means of the epipolar constraint and a left-right consistency check, and the three-dimensional image is obtained by means of a mapping relationship between the phase and three-dimensional coordinates; and in the high precision imaging mode, two phases having different frequencies are obtained by means of N+2 stripe gratings, a low-frequency absolute phase is obtained by the epipolar constraint, and the unwrapping of a high-frequency phase is assisted by means of the low-frequency absolute phase, so as to obtain the high-frequency absolute phase, and finally, the three-dimensional image is obtained by the mapping relationship between the phase and the three-dimensional coordinates. In this way, the imaging efficiency is ensured, and the imaging precision is improved.
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5.发明公开公开(公告)号：US20240020866A1
公开(公告)日：2024-01-18
申请号：US18025815
申请日：2021-08-18
Applicant: Nanjing University of Science and Technology
Inventor： Chao Zuo , Qian Chen , Shijie Feng , Jiasong Sun , Yuzhen Zhang , Guohua Gu
CPC classification number: G06T7/593 , G06T3/4007 , G06T7/194 , G06V10/44 , G06T2207/20228
Abstract: The invention discloses a three-dimensional (3D) measurement method based on end-to-end deep learning for speckle projection. First, the speckle pattern was projected by the projector and collected simultaneously by the stereo camera. The speckle images after stereo rectification are fed into the stereo matching network. A feature extraction sub-network based on shared weights processes the speckle images to obtain a series of low-resolution 3D feature tensors, The feature tensor is fed into the saliency object detection sub-network to detect foreground information in the speckle images, producing a full-resolution valid mask map. A 4D matching cost volume is generated using the feature tensor of both views based on the candidate disparity range, filtered by a series of 3D convolutional layers to achieve cost aggregation, so that the initial disparity map is obtained by disparity regression. The final disparity map is obtained by combining the mask map and the initial disparity map to achieve a single-frame, robust, and absolute 3D shape measurement. The invention achieves a single-frame, robust, and absolute 3D shape measurement by projecting a single speckle pattern.
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Patent Agency Ranking
公开(公告)号：US11555992B2
公开(公告)日：2023-01-17
申请号：US16633037
申请日：2018-02-26
Applicant: NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Qian Chen , Chao Zuo , Jiasong Sun , Shijie Feng , Yuzhen Zhang , Guohua Gu
Abstract: The invention discloses a programmable annular LED illumination-based high efficiency quantitative phase microscopy imaging method, the proposed method comprising the following steps: the derivation of system optical transfer function in a partially coherent illumination imaging system; the derivation of phase transfer function with the weak object approximation under the illumination of tilted axially symmetric coherent point illumination source; the extension of illumination from an axially symmetric coherence point source to a discrete annular point source, and the optical transfer function can be treated as an incoherent superposition of each pair of tilted axially symmetric coherent point sources. The acquisition of raw intensity dataset; the implementation of deconvolution for quantitative phase reconstruction. The invention derives the system phase transfer function under the tilted axially symmetric point light source in the case of partially coherent illumination, and promotes the optical phase transfer function of the discrete annular point light source. The programmability characteristic of LED array enables the annular illumination aperture to be flexibly adjustable, being applicable to different microscopic objects with different numerical apertures, and improving the compatibility and flexibility of the system.
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公开(公告)号：US11029144B2
公开(公告)日：2021-06-08
申请号：US16496815
申请日：2018-02-26
Applicant: NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY
Inventor： Qian Chen , Chao Zuo , Shijie Feng , Jiasong Sun , Yuzhen Zhang , Guohua Gu
IPC: G01B11/25
Abstract: A super-rapid three-dimensional measurement method and system based on an improved Fourier transform contour technique is disclosed. The method comprises: firstly calibrating a measurement system to obtain calibration parameters, then cyclically projecting 2n patterns into a measured scene using a projector, wherein n patterns are binary sinusoidal fringes with different high frequency, and the other n patterns are all-white images with the values of 1, and projecting the all-white images between every two binary high-frequency sinusoidal fringes, and synchronously acquiring images using a camera; and then performing phase unwrapping on wrapped phases to obtain initial absolute phases, and correcting the initial absolute phases, and finally reconstructing a three-dimensional topography of the measured scene by exploiting the corrected absolute phases and the calibration parameters to obtain 3D spatial coordinates of the measured scene in a world coordinate system, thereby accomplishing three-dimensional topography measurement of an object. In this way, the precision of three-dimensional topography measurement is ensured, and the speed of three-dimensional topography measurement is improved.
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公开(公告)号：US11906286B2
公开(公告)日：2024-02-20
申请号：US17280464
申请日：2019-07-05
Applicant: Nanjing University of Science and Technology
Inventor： Qian Chen , Chao Zuo , Shijie Feng , Yuzhen Zhang , Guohua Gu
Abstract: The invention discloses a deep learning-based temporal phase unwrapping method for fringe projection profilometry. First, four sets of three-step phase-shifting fringe patterns with different frequencies (including 1, 8, 32, and 64) are projected to the tested objects. The three-step phase-shifting fringe images acquired by the camera are processed to obtain the wrapped phase map using a three-step phase-shifting algorithm. Then, a multi-frequency temporal phase unwrapping (MF-TPU) algorithm is used to unwrap the wrapped phase map to obtain a fringe order map of the high-frequency phase with 64 periods. A residual convolutional neural network is built, and its input data are set to be the wrapped phase maps with frequencies of 1 and 64, and the output data are set to be the fringe order map of the high-frequency phase with 64 periods. Finally, the training dataset and the validation dataset are built to train and validate the network. The network makes predictions on the test dataset to output the fringe order map of the high-frequency phase with 64 periods. The invention exploits a deep learning method to unwrap a wrapped phase map with a frequency of 64 using a wrapped phase map with a frequency of 1 and obtain an absolute phase map with fewer phase errors and higher accuracy.
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公开(公告)号：US20230359010A1
公开(公告)日：2023-11-09
申请号：US18026276
申请日：2021-08-18
Applicant: Nanjing University of Science and Technology
Inventor： Qian Chen , Chao Zuo , Jiasong Sun , Shijie Feng , Yuzhen Zhang , Guohua Gu
CPC classification number: G02B21/14 , G02B21/0008 , G02B21/0032 , G02B21/008
Abstract: The invention discloses a miniaturized, low-cost, multi-contrast label-free microscopic imaging system. The imaging system is based on an inverted microscopic structure, a highly integrated optical system is designed by adopting a micro lens having a fixed focal length, and a complex optical system of a traditional microscope system is replaced, such that the whole microscope is highly integrated. The system uses a programmable LED array as an illumination light source the LED array is controlled by a computer to display different illumination modes, six imaging functions of a bright field, a dark field a rainbow dark field, Rheinberg optical dyeing, differential phase contrast, and quantitative phase imaging are achieved; and diversified unmarked imaging methods are provided for biological applications. The invention provides a matching control system, which can realize system hardware control and algorithm execution and display, comprises functions such as illumination control, camera parameter adjustment quantitative phase reconstruction recovery, two-dimensional/three-dimensional result display, and quantitative profile analysis, and can realize diversified information obtaining and analysis of unmarked samples.
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10.发明授权公开(公告)号：US11781966B2
公开(公告)日：2023-10-10
申请号：US17289605
申请日：2019-07-05
Applicant: Nanjing University of Science and Technology
Inventor： Chao Zuo , Qian Chen , Jiaji Li , Jiasong Sun , Yao Fan , Shijie Feng , Yuzhen Zhang
IPC: G01N15/14
CPC classification number: G01N15/1434 , G01N15/1468 , G01N2015/145 , G01N2015/1445
Abstract: The present invention discloses a three-dimensional diffraction tomography microscopy imaging method based on LED array coded illumination. Firstly, acquiring the raw intensity images, three sets of intensity image stacks are acquired at different out-of-focus positions by moving the stage or using electrically tunable lens. And then, after acquiring the intensity image stacks of the object to be measured at different out-of-focus positions, the three-dimensional phase transfer function of the microscopy imaging system with arbitrary shape illumination is derived. Further, the three-dimensional phase transfer function of the microscopic system under circular and annular illumination with different coherence coefficients is obtained as well, and the three-dimensional quantitative refractive index is reconstructed by inverse Fourier transform of the three-dimensional scattering potential function. The scattering potential function is converted into the refractive index distribution. Thus, the quantitative three-dimensional refractive index distribution of the test object is obtained. The invention realizes high-resolution and high signal-to-noise ratio 3D diffraction tomography microscopic imaging of cells, tiny biological tissues and other samples.
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