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    METHOD AND SYSTEM FOR PIXEL SUPER-RESOLUTION OF MULTIPLEXED HOLOGRAPHIC COLOR IMAGES
    1.
    发明申请
    METHOD AND SYSTEM FOR PIXEL SUPER-RESOLUTION OF MULTIPLEXED HOLOGRAPHIC COLOR IMAGES 审中-公开
    用于像素超分辨率复合全息彩色图像的方法和系统

    公开(公告)号：WO2017196995A1

    公开(公告)日：2017-11-16

    申请号：PCT/US2017/031984

    申请日：2017-05-10

    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

    Inventor： OZCAN, Aydogan ,  WU, Yichen ,  ZHANG, Yibo ,  LUO, Wei

    IPC: G03H1/04

    Abstract: A method of generating a color image of a sample includes obtaining a plurality of low resolution holographic images of the sample using a color image sensor, the sample illuminated simultaneously by light from three or more distinct colors, wherein the illuminated sample casts sample holograms on the image sensor and wherein the plurality of low resolution holographic images are obtained by relative x, y, and z directional shifts between sample holograms and the image sensor. Pixel super-resolved holograms of the sample are generated at each of the three or more distinct colors. De-multiplexed holograms are generated from the pixel super-resolved holograms. Phase information is retrieved from the de-multiplexed holograms using a phase retrieval algorithm to obtain complex holograms. The complex hologram for the three or more distinct colors is digitally combined and back-propagated to a sample plane to generate the color image.

    Abstract translation: 产生样本的彩色图像的方法包括使用彩色图像传感器获得样本的多个低分辨率全息图像，样本由来自三种或更多种不同颜色的光同时照射，其中 照射样本在图像传感器上投射样本全息图，并且其中通过样本全息图和图像传感器之间的相对x，y和z方向位移来获得多个低分辨率全息图像。 样品的像素超分辨全息图在三种或更多种不同颜色中的每一种上产生。 解复用全息图由像素超分辨全息图生成。 使用相位检索算法从解复用全息图中检索相位信息以获得复杂的全息图。 用于三种或更多种不同颜色的复合全息图被数字组合并且向后传播到样本平面以生成彩色图像。

    DEVICE AND METHOD FOR MOTILITY-BASED LABEL-FREE DETECTION OF MOTILE OBJECTS IN A FLUID SAMPLE
    2.
    发明申请
    DEVICE AND METHOD FOR MOTILITY-BASED LABEL-FREE DETECTION OF MOTILE OBJECTS IN A FLUID SAMPLE 审中-公开

    公开(公告)号：WO2020082030A1

    公开(公告)日：2020-04-23

    申请号：PCT/US2019/057073

    申请日：2019-10-18

    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

    Inventor： OZCAN, Aydogan ,  ZHANG, Yibo ,  KOYDEMIR, Hatice Ceylan

    IPC: G01N33/487 ,  G01B11/24 ,  G01N15/14 ,  G03H1/04 ,  G03H1/08

    Abstract: Systems and methods for detecting motile objects (e.g., parasites) in a fluid sample by utilizing locomotion of the parasites as a specific biomarker and endogenous contrast mechanism. The imaging platform includes one or more substantially optically transparent sample holders. The imaging platform has a moveable scanning head containing light source(s) and corresponding image sensor(s) associated with the light source(s). The light source(s) are directed at a respective sample holder containing a sample and the respective image sensor(s) are positioned below a respective sample holder to capture time-varying holographic speckle patterns of the sample. The image sensor(s). A computing device is configured to receive time-varying holographic speckle pattern image sequences obtained by the image sensor(s). The computing device generates a 3D contrast map of motile objects within the sample use deep learning-based classifier software to identify the motile objects.

    MAGNETICALLY MODULATED COMPUTATIONAL CYTOMETER AND METHODS OF USE
    3.
    发明申请
    MAGNETICALLY MODULATED COMPUTATIONAL CYTOMETER AND METHODS OF USE 审中-公开

    公开(公告)号：WO2021003369A1

    公开(公告)日：2021-01-07

    申请号：PCT/US2020/040664

    申请日：2020-07-02

    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

    Inventor： OZCAN, Aydogan ,  RAY, Aniruddha ,  ZHANG, Yibo ,  DI CARLO, Dino

    IPC: G01N15/10 ,  B01D35/06 ,  B03C1/005 ,  B03C1/02 ,  B03C1/32

    Abstract: A computational cytometer operates using magnetically modulated lensless speckle imaging, which introduces oscillatory motion to magnetic bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three-dimensions (3D). Detection specificity is further enhanced through a deep learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. This compact, cost-effective and high-throughput computational cytometer can be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.

    METHOD AND DEVICE FOR HIGH-RESOLUTION COLOR IMAGING USING MERGED IMAGES FROM HOLOGRAPHIC AND LENS-BASED DEVICES
    5.
    发明申请
    METHOD AND DEVICE FOR HIGH-RESOLUTION COLOR IMAGING USING MERGED IMAGES FROM HOLOGRAPHIC AND LENS-BASED DEVICES 审中-公开
    使用来自全息和基于镜头的装置的合成图像进行高分辨率彩色成像的方法和装置

    公开(公告)号：WO2017196885A1

    公开(公告)日：2017-11-16

    申请号：PCT/US2017/031813

    申请日：2017-05-09

    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

    Inventor： OZCAN, Aydogan ,  ZHANG, Yibo ,  WU, Yichen

    IPC: G02B21/00 ,  G03H1/02 ,  G03H1/04 ,  G03H1/08 ,  G03H1/22 ,  G06T5/50

    Abstract: Methods and systems for generating a high-color-fidelity and high-resolution color image of a sample are disclosed; which fuses or merges a holographic image acquired at a single wavelength with a color-calibrated image taken by a low-magnification lens-based microscope using a wavelet transform based colorization method. A holographic microscope is used to obtain holographic images which are used to computationally reconstruct a high-resolution mono-color holographic image of the sample. A lens-based microscope is used to obtain low resolution color images. A discrete wavelet transform (DWT) is used to generate a final image that merges the low-resolution components from the lens-based color image and the high-resolution components from the high-resolution mono-color holographic image.

    Abstract translation: 公开了用于生成样本的高色彩逼真度和高分辨率彩色图像的方法和系统; 其使用基于小波变换的彩色化方法将在单个波长处获取的全息图像与由基于低倍率透镜的显微镜拍摄的色彩校准图像融合或合并。 全息显微镜用于获取全息图像，用于计算重建样本的高分辨率单色全息图像。 基于镜头的显微镜用于获取低分辨率的彩色图像。 使用离散小波变换（DWT）来生成最终图像，该图像合并来自基于镜头的彩色图像的低分辨率分量和来自高分辨率单色全息图像的高分辨率分量。

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