-
公开(公告)号：US12106552B2
公开(公告)日：2024-10-01
申请号：US17261542
申请日：2019-03-29
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yair Rivenson , Zhensong Wei
IPC: G06V10/82 , G06F18/214 , G06N3/08 , G06V10/764 , G06V20/69
CPC classification number: G06V10/82 , G06F18/2148 , G06F18/2155 , G06N3/08 , G06V10/764 , G06V20/693 , G06V20/698
Abstract: A deep learning-based digital staining method and system are disclosed that provides a label-free approach to create a virtually-stained microscopic images from quantitative phase images (QPI) of label-free samples. The methods bypass the standard histochemical staining process, saving time and cost. This method is based on deep learning, and uses a convolutional neural network trained using a generative adversarial network model to transform QPI images of an unlabeled sample into an image that is equivalent to the brightfield image of the chemically stained-version of the same sample. This label-free digital staining method eliminates cumbersome and costly histochemical staining procedures, and would significantly simplify tissue preparation in pathology and histology fields.
-
62.发明授权公开(公告)号：US11697833B2
公开(公告)日：2023-07-11
申请号：US16464681
申请日：2017-11-29
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Omai Garner , Dino Di Carlo , Steve Wei Feng
CPC classification number: C12Q1/18 , G01N21/253 , G06V10/12 , G06V20/69 , G01N2201/0221 , G01N2201/0833
Abstract: A method of performing antimicrobial susceptibility testing (AST) on a sample uses a reader device that mounts on a mobile phone having a camera. A microtiter plate containing wells preloaded with the bacteria-containing sample, growth medium, and drugs of differing concentrations is loaded into the reader device. The wells are illuminated using an array of illumination sources contained in the reader device. Images of the wells are acquired with the camera of the mobile phone. In one embodiment, the images are transmitted to a separate computing device for processing to classify each well as turbid or not turbid and generating MIC values and a susceptibility characterization for each drug in the panel based on the turbidity classification of the array of wells. The MIC values and the susceptibility characterizations for each drug are transmitted or returned to the mobile phone for display thereon.
-
公开(公告)号：US20220327371A1
公开(公告)日：2022-10-13
申请号：US17616983
申请日：2020-06-05
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yair Rivenson , Jingxi Li , Deniz Mengu , Yi Luo
Abstract: A diffractive optical neural network device includes a plurality of diffractive substrate layers arranged in an optical path. The substrate layers are formed with physical features across surfaces thereof that collectively define a trained mapping function between an optical input and an optical output. A plurality of groups of optical sensors are configured to sense and detect the optical output, wherein each group of optical sensors has at least one optical sensor configured to capture a positive signal from the optical output and at least one optical sensor configured to capture a negative signal from the optical output. Circuitry and/or computer software receives signals or data from the optical sensors and identifies a group of optical sensors in which a normalized differential signal calculated from the positive and negative optical sensors within each group is the largest or the smallest of among all the groups.
-
64.发明申请公开(公告)号：US20220299525A1
公开(公告)日：2022-09-22
申请号：US17612575
申请日：2020-05-22
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Hyou-Arm Joung , Zachary S. Ballard , Omai Garner , Dino Di Carlo , Artem Goncharov
IPC: G01N33/68 , G01N33/543 , G06T7/00
Abstract: A system for detecting the presence of and/or quantifying the amount or concentration of one or more analytes in a sample includes a flow assay cartridge having a multiplexed sensing membrane that has immunoreaction or biological reaction spots of varying conditions spatially arranged across the surface of the membrane defining an optimized spot map. A reader device is provided that uses a camera to image the multiplexed sensing membrane. Image processing software obtains normalized pixel intensity values of the plurality of immunoreaction or biological reaction spots and which are used as inputs to one or more trained neural networks configured to generate one or more outputs that: (i) quantify the amount or concentration of the one or more analytes in the sample; and/or (ii) indicate the presence of the one or more analytes in the sample; and/or (ii) determines a diagnostic decision or classification of the sample.
-
65.发明授权公开(公告)号：US11422503B2
公开(公告)日：2022-08-23
申请号：US16952492
申请日：2020-11-19
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alon Grinbaum , Yibo Zhang , Alborz Feizi , Wei Luo
Abstract: A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.
-
Patent Agency Ranking
公开(公告)号：US11222415B2
公开(公告)日：2022-01-11
申请号：US16395674
申请日：2019-04-26
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yair Rivenson , Hongda Wang , Harun Gunaydin , Kevin de Haan
Abstract: A microscopy method includes a trained deep neural network that is executed by software using one or more processors of a computing device, the trained deep neural network trained with a training set of images comprising co-registered pairs of high-resolution microscopy images or image patches of a sample and their corresponding low-resolution microscopy images or image patches of the same sample. A microscopy input image of a sample to be imaged is input to the trained deep neural network which rapidly outputs an output image of the sample, the output image having improved one or more of spatial resolution, depth-of-field, signal-to-noise ratio, and/or image contrast.
-
67.发明申请公开(公告)号：US20210374381A1
公开(公告)日：2021-12-02
申请号：US17285898
申请日：2019-10-18
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yibo Zhang , Hatice Ceylan Koydemir
Abstract: Systems and methods for detecting motile objects (e.g., parasites) in a fluid sample by utilizing the 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 sources 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 contained in the sample holder. 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.
-
68.发明申请公开(公告)号：US20210142170A1
公开(公告)日：2021-05-13
申请号：US17046293
申请日：2019-04-12
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yair Rivenson , Xing Ling , Deniz Mengu , Yi Luo
Abstract: An all-optical Diffractive Deep Neural Network (D2NN) architecture learns to implement various functions or tasks after deep learning-based design of the passive diffractive or reflective substrate layers that work collectively to perform the desired function or task. This architecture was successfully confirmed experimentally by creating 3D-printed D2NNs that learned to implement handwritten classifications and lens function at the terahertz spectrum. This all-optical deep learning framework can perform, at the speed of light, various complex functions and tasks that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that can learn to perform unique tasks using D2NNs. In alternative embodiments, the all-optical D2NN is used as a front-end in conjunction with a trained, digital neural network back-end.
-
公开(公告)号：US10248838B2
公开(公告)日：2019-04-02
申请号：US15368420
申请日：2016-12-02
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Qingshan Wei , Wei Luo
Abstract: A device and method for imaging fluorescently labeled molecules (e.g., nucleic acids) includes securing a modular attachment device to the mobile phone with a sample containing stretched, fluorescently labeled nucleic acid molecules and illuminating the sample with excitation light to cause the fluorescently labeled nucleic acid molecules to emit fluorescent light. Images of the nucleic acids are captured using a camera of the mobile phone. The images from the mobile phone are transferred to a remote computer for image processing and analysis. The images are processed by the remote computer to generate analysis data of sample, wherein the analysis data includes the length of nucleic acid molecules contained in the sample or the length of molecular sub-region(s). The mobile phone or another computing device receives from the remote computer the analysis data and displays at least some of the analysis data thereon.
-
公开(公告)号：US10088663B2
公开(公告)日：2018-10-02
申请号：US15154279
申请日：2016-05-13
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Euan McLeod
Abstract: A method of forming nanolenses for imaging includes providing an optically transparent substrate having a plurality of particles disposed on one side thereof. The optically transparent substrate is located within a chamber containing therein a reservoir holding a liquid solution. The liquid solution is heated to form a vapor within the chamber, wherein the vapor condenses on the substrate to form nanolenses around the plurality of particles. The particles are then imaged using an imaging device. The imaging device may be located in the same device that contains the reservoir or a separate imaging device.
-
-
-
-
-
-
-
-
-
Search Results
96
records
(took 0.03 seconds)
