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公开(公告)号：US20230060037A1
公开(公告)日：2023-02-23
申请号：US17793926
申请日：2021-01-27
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yair Rivenson , Hongda Wang , Hatice Ceylan Koydemir , Yunzhe Qiu
IPC: G06V20/69 , H04N5/232 , G06V10/10 , G06V10/82 , H04N5/225 , C12Q1/04 , G02B21/36 , G02B21/26 , G03H1/00
Abstract: A system for the detection and classification of live microorganisms in a sample includes a light source and an incubator holding one or more sample-containing growth plates. A translation stage moves the image sensor and/or the growth plate(s) along one or more dimensions to capture time-lapse holographic images of microorganisms. Image processing software executed by a computing device captures time-lapse holographic images of the microorganisms or clusters of microorganisms on the one or more growth plates. The image processing software is configured to detect candidate microorganism colonies in reconstructed, time-lapse holographic images based on differential image analysis. The image processing software includes one or more trained deep neural networks that process the time-lapsed image(s) of candidate microorganism colonies to detect true microorganism colonies and/or output a species associated with each true microorganism colony.
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公开(公告)号：US11450121B2
公开(公告)日：2022-09-20
申请号：US16019421
申请日：2018-06-26
Applicant: The Regents of the University of California
Inventor： Dino Di Carlo , Aydogan Ozcan , Omai B. Garner , Hector E. Munoz , Carson Riche
IPC: G06V20/69 , G06T7/00 , G16B40/10 , G06V10/46 , C12Q1/6844
Abstract: An optical readout method for detecting a precipitate (e.g., a precipitate generated from the LAMP reaction) contained within a droplet includes generating a plurality of droplets, at least some which have a precipitate contained therein. The droplets are imaged using a brightfield imaging device. The image is subject to image processing using image processing software executed on a computing device. Image processing isolates individual droplets in the image and performs feature detection within the isolated droplets. Keypoints and information related thereto are extracted from the detected features within the isolated droplets. The keypoints are subject to a clustering operation to generate a plurality of visual “words.” The word frequency obtained for each droplet is input into a trained machine learning droplet classifier, wherein the trained machine learning droplet classifier classifies each droplet as positive for the precipitate or negative for the precipitate.
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公开(公告)号：US20220268754A1
公开(公告)日：2022-08-25
申请号：US17627400
申请日：2020-07-29
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Kevin de Haan , Hatice Ceylan Koydemir , Sabiha Tok , Derek Tseng
Abstract: A system for detecting the presence of E. coli and total coliform in a water sample includes a sample holder that holds smaller, divided volumes of the sample and a testing reagent. A plurality of light sources are disposed above sample holder. The divided sample volumes are are illuminated with first and second light sources emitting light at different wavelengths. A bundle of optical fibers is provided with having an input end located adjacent to the divided sample volumes and is configured to receive light passing through the sample volumes. Light is output from the bundle of optical fibers and is captured with a camera. Image processing software is provided and is configured to calculate a light intensity in first and second wavelength channels at different times and outputs a positive/negative indication for E. coli and total coliform for the water sample.
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公开(公告)号：US11347000B2
公开(公告)日：2022-05-31
申请号：US15737743
申请日：2016-06-17
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Brandon Berg , Bingen Cortazar , Derek Tseng , Steve Wei Feng , Haydar Ozkan , Omai Garner , Dino Di Carlo
Abstract: A micro-plate reader for use with a portable electronic device having a camera includes an opto-mechanical attachment configured to attach/detach to the portable electronic device and includes an array of illumination sources. A slot in the opto-mechanical attachment is dimensioned to receive an optically transparent plate containing an array of wells. Optical fibers are located in the opto-mechanical attachment and transmit light from each well to a reduced size header having, wherein the fiber array in the header has a cross-sectional area that is ≤10× the cross-sectional area of the wells in the plate. A lens located in the opto-mechanical attachment transmits light from the header fibers to the camera. Software executed on the portable electronic device or other computer is used to process the images to generate qualitative clinical determinations and/or quantitative index values for the separate wells.
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公开(公告)号：US11320362B2
公开(公告)日：2022-05-03
申请号：US16333139
申请日：2017-09-22
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Alborz Feizi , Alon Greenbaum
Abstract: A lens-free microscope system for automatically analyzing yeast cell viability in a stained sample includes a portable, lens-free microscopy device that includes a housing containing a light source coupled to an optical fiber, the optical fiber spaced away several centimeters from an image sensor disposed at one end of the housing, wherein the stained sample is disposed on the image sensor or a sample holder adjacent to the image sensor. Hologram images are transferred to a computing device having image processing software contained therein, the image processing software identifying yeast cell candidates of interest from back-propagated images of the stained sample, whereby a plurality of spatial features are extracted from the yeast cell candidates of interest and subject to a trained machine learning model to classify the yeast cell candidates of interest as live or dead.
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Patent Agency Ranking
公开(公告)号：US20220122313A1
公开(公告)日：2022-04-21
申请号：US17505553
申请日：2021-10-19
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yair Rivenson , Luzhe Huang
Abstract: A deep learning-based volumetric image inference system and method are disclosed that uses 2D images that are sparsely captured by a standard wide-field fluorescence microscope at arbitrary axial positions within the sample volume. Through a recurrent convolutional neural network (RNN) (referred to herein as Recurrent-MZ), 2D fluorescence information from a few axial planes within the sample is explicitly incorporated to digitally reconstruct the sample volume over an extended depth-of-field. Using experiments on C. elegans and nanobead samples, Recurrent-MZ is demonstrated to increase the depth-of-field of a 63×/1.4 NA objective lens by approximately 50-fold, also providing a 30-fold reduction in the number of axial scans required to image the same sample volume. The generalization of this recurrent network for 3D imaging is further demonstrated by showing its resilience to varying imaging conditions, including e.g., different sequences of input images, covering various axial permutations and unknown axial positioning errors.
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公开(公告)号：US11054357B2
公开(公告)日：2021-07-06
申请号：US16492098
申请日：2018-03-09
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yichen Wu , Steve Wei Feng
Abstract: A lens-free microscope for monitoring air quality includes a housing that contains a vacuum pump configured to draw air into an impaction nozzle. The impaction nozzle has an output located adjacent to an optically transparent substrate for collecting particles. One or more illumination sources are disposed in the housing and are configured to illuminate the collected particles on the optically transparent substrate. An image sensor is located adjacent to the optically transparent substrate, wherein the image sensor collects particle diffraction patterns or holographic images cast upon the image sensor. At least one processor is disposed in the housing and controls the vacuum pump and the one or more illumination sources. Image files are transferred to a separate computing device for image processing using machine learning to identify particles and perform data analysis to output particle images, particle size, particle density, and/or particle type data.
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公开(公告)号：US10663466B2
公开(公告)日：2020-05-26
申请号：US14530517
申请日：2014-10-31
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Onur Mudanyali , Stoyan Dimitrov , Uzair Sikora , Swati Padmanabhan , Isa Navrus
IPC: G01N33/569 , G06F16/245 , G01N21/84 , G01N21/64 , G16H15/00 , G06K7/10 , G01N21/01 , G01N21/77 , G01N21/82 , G01N33/543
Abstract: A portable rapid diagnostic test reader system includes a mobile phone having a camera and one or more processors contained within the mobile phone and a modular housing configured to mount to the mobile phone. The modular housing including a receptacle configured to receive a sample tray holding a rapid diagnostic test. At least one illumination source is disposed in the modular housing and located on one side of the rapid diagnostic test. An optical demagnifier is disposed in the modular housing interposed between the rapid diagnostic test and the mobile phone camera.
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公开(公告)号：US20190286053A1
公开(公告)日：2019-09-19
申请号：US16300546
申请日：2017-05-10
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Yichen Wu , Yibo Zhang , Wei Luo
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.
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公开(公告)号：US20180003686A1
公开(公告)日：2018-01-04
申请号：US15538309
申请日：2015-12-21
Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
Inventor： Aydogan Ozcan , Bingen Cortazar , Hatice Ceylan Koydemir , Derek Tseng , Steve Feng
IPC: G01N33/00 , G01N21/84 , G06K9/00 , G06K9/20 , G06K9/62 , G01N21/27 , G01N21/31 , G06K9/46 , G06K9/22 , G01N21/01
CPC classification number: G01N33/0098 , G01N21/274 , G01N21/31 , G01N21/84 , G01N2021/0125 , G01N2021/8466 , G01N2201/0221 , G01N2201/0627 , G01N2201/0634 , G06K9/00657 , G06K9/2027 , G06K9/2054 , G06K9/22 , G06K9/4661 , G06K9/6202 , G06T7/90 , H04Q9/00
Abstract: A system for measuring chlorophyll concentration in a leaf sample includes a leaf-holding illuminator device with a main body containing a power source, a plurality of switchable light sources emitting light at different spectra (e.g., red and white light from a broadband light source), and a cap detachably secured to the main body using one or more fastening means. The leaf sample is interposed between the main body and the cap and held in place during imaging. The system includes a mobile electronic device having a camera configured to capture an image of the leaf illuminated by the plurality of switchable light sources, the mobile electronic device having wireless connectivity to a network and an application contained therein configured to transfer the images to a remote sever or computer via the network for data processing. A final chlorophyll index value is calculated based on the transferred images.
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