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公开(公告)号：US20210224999A1
公开(公告)日：2021-07-22
申请号：US16746340
申请日：2020-01-17
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Ali Behrooz
Abstract: Systems and methods of improving alignment in dense prediction neural networks are disclosed. A method includes identifying, at a computing system, an input data set and a label data set with one or more first parts of the input data set corresponding to a label. The computing system processes the input data set using a neural network to generate a predicted label data set that identifies one or more second parts of the input data set predicted to correspond to the label. The computing system determines an alignment result using the predicted label data set and the label data set and a transformation of the one or more first parts, including a shift, rotation, scaling, and/or deformation, based on the alignment result. The computing system computes a loss score using the transformation, label data and the predicted label data set and updates the neural network based on the loss score.
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公开(公告)号：US10591417B2
公开(公告)日：2020-03-17
申请号：US16448670
申请日：2019-06-21
Applicant: Verily Life Sciences LLC
Inventor： Charles Santori , Supriyo Sinha , Cheng-Hsun Wu , James Higbie , Seung Ah Lee
IPC: G01J3/18 , G01N21/64 , G01J3/44 , G02B21/00 , G02B21/16 , G01J3/10 , G01J3/28 , G01J3/433 , G01J3/02 , A61B5/00 , G01J3/32 , G01J3/12
Abstract: Systems and methods for hyperspectral imaging are described. In one implementation, a hyperspectral imaging system includes a sample holder configured to hold a sample, an illumination system, and a detection system. The illumination system includes a light source configured to emit excitation light having one or more wavelengths and a diffractive element. The illumination system is configured to structure the excitation light into a predetermined two-dimensional pattern at a conjugate plane of a focal plane in the sample, spectrally disperse the structured excitation light in a first lateral direction, and illuminate the sample in an excitation pattern with the one or more wavelengths dispersed in the first lateral direction.
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公开(公告)号：US20220067944A1
公开(公告)日：2022-03-03
申请号：US17454138
申请日：2021-11-09
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Ali Behrooz
Abstract: Systems and methods of improving alignment in dense prediction neural networks are disclosed. A method includes identifying, at a computing system, an input data set and a label data set with one or more first parts of the input data set corresponding to a label. The computing system processes the input data set using a neural network to generate a predicted label data set that identifies one or more second parts of the input data set predicted to correspond to the label. The computing system determines an alignment result using the predicted label data set and the label data set and a transformation of the one or more first parts, including a shift, rotation, scaling, and/or deformation, based on the alignment result. The computing system computes a loss score using the transformation, label data and the predicted label data set and updates the neural network based on the loss score.
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公开(公告)号：US20200182793A1
公开(公告)日：2020-06-11
申请号：US16788730
申请日：2020-02-12
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Brian M. Rabkin , Supriyo Sinha , John D. Perreault , Chinmay Belthangady , James Higbie , Seung Ah Lee
Abstract: The present disclosure relates to systems and methods for cellular imaging and identification through the use of a light sheet flow cytometer. In one implementation, a light sheet flow cytometer may include a light source configured to emit light having one or more wavelengths, at least one optical element configured to form a light sheet from the emitted light, a microfluidic channel configured to hold a sample, and an imaging device. The imaging device may be adapted to forming 3-D images of the sample such that identification tags attached to the sample are visible.
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公开(公告)号：US10605733B1
公开(公告)日：2020-03-31
申请号：US15833677
申请日：2017-12-06
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Brian M. Rabkin , Supriyo Sinha , John D. Perreault , Chinmay Belthangady , James Higbie , Seung Ah Lee
Abstract: The present disclosure relates to systems and methods for cellular imaging and identification through the use of a light sheet flow cytometer. In one implementation, a light sheet flow cytometer may include a light source configured to emit light having one or more wavelengths, at least one optical element configured to form a light sheet from the emitted light, a microfluidic channel configured to hold a sample, and an imaging device. The imaging device may be adapted to forming 3-D images of the sample such that identification tags attached to the sample are visible.
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Patent Agency Ranking
公开(公告)号：US20190188446A1
公开(公告)日：2019-06-20
申请号：US16217262
申请日：2018-12-12
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Huang-Wei Chang , James Higbie , Andrew Homyk , Charles Santori
CPC classification number: G06K9/0014 , G06K9/6256 , G06T3/0075 , G06T11/001
Abstract: Systems and methods for generating virtually stained images of unstained samples are provided. According to an aspect of the invention, a method includes accessing an image training dataset including a plurality of image pairs. Each image pair includes a first image of an unstained first tissue sample, and a second image acquired when the first tissue sample is stained. The method also includes accessing a set of parameters for an artificial neural network, wherein the set of parameters includes weights associated with artificial neurons within the artificial neural network; training the artificial neural network by using the image training dataset and the set of parameters to adjust the weights; accessing a third image of a second tissue sample that is unstained; using the trained artificial neural network to generate a virtually stained image of the second tissue sample from the third image; and outputting the virtually stained image.
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7.发明授权公开(公告)号：US11776124B1
公开(公告)日：2023-10-03
申请号：US17804187
申请日：2022-05-26
Applicant: Verily Life Sciences LLC
Inventor： Ali Behrooz , Cheng-Hsun Wu
CPC classification number: G06T7/0014 , G06N3/08 , G06N20/00 , G06T3/0075 , G06T3/40 , G06T2207/10036 , G06T2207/20081 , G06T2207/20084
Abstract: Systems and methods for predicting images with enhanced spatial resolution using a neural network are provided herein. According to an aspect of the invention, a method includes accessing an input image of a biological sample, wherein the input image includes a first spatial resolution and a plurality of spectral images, and wherein each spectral image of the plurality of spectral images includes data from a different wavelength band at a different spectral channel; applying a trained artificial neural network to the input image; generating an output image at a second spatial resolution, wherein the second spatial resolution is higher than the first spatial resolution, and wherein the output image includes a fewer number of spectral channels than the plurality of spectral images included in the input image; and outputting the output image.
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公开(公告)号：US11200676B2
公开(公告)日：2021-12-14
申请号：US16746340
申请日：2020-01-17
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Ali Behrooz
Abstract: Systems and methods of improving alignment in dense prediction neural networks are disclosed. A method includes identifying, at a computing system, an input data set and a label data set with one or more first parts of the input data set corresponding to a label. The computing system processes the input data set using a neural network to generate a predicted label data set that identifies one or more second parts of the input data set predicted to correspond to the label. The computing system determines an alignment result using the predicted label data set and the label data set and a transformation of the one or more first parts, including a shift, rotation, scaling, and/or deformation, based on the alignment result. The computing system computes a loss score using the transformation, label data and the predicted label data set and updates the neural network based on the loss score.
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公开(公告)号：US10386300B2
公开(公告)日：2019-08-20
申请号：US15384918
申请日：2016-12-20
Applicant: Verily Life Sciences LLC
Inventor： Cheng-Hsun Wu , Victor Marcel Acosta , Ian Peikon , Paul Lebel , Jerrod Joseph Schwartz
IPC: G01N21/64 , G06T7/90 , G02B21/16 , G02B21/36 , G02B26/08 , G02F1/29 , G01J3/02 , G01J3/08 , G01J3/14 , G01J3/18 , G01J3/28 , G01J3/32 , G01J3/44 , G02B5/18 , G01J3/12
Abstract: Methods are provided to identify spatially and spectrally multiplexed probes in a biological environment. Such probes are identified by the ordering and color of fluorophores of the probes. The devices and methods provided facilitate determination of the locations and colors of such fluorophores, such that a probe can be identified. In some embodiments, probes are identified by applying light from a target environment to a spatial light modulator that can be used to control the direction and magnitude of chromatic dispersion of the detected light; multiple images of the target, corresponding to multiple different spatial light modulator settings, can be deconvolved and used to determine the colors and locations of fluorophores. In some embodiments, light from a region of the target can be simultaneously imaged spatially and spectrally. Correlations between the spatial and spectral images over time can be used to determine the color of fluorophores in the target.
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公开(公告)号：US10365218B2
公开(公告)日：2019-07-30
申请号：US15607457
申请日：2017-05-27
Applicant: Verily Life Sciences LLC
Inventor： Charles Santori , Supriyo Sinha , Cheng-Hsun Wu , James Higbie , Seung Ah Lee
IPC: G01N21/64 , G01J3/18 , G01J3/44 , G02B21/00 , G02B21/16 , A61B5/00 , G01J3/32 , G01J3/10 , G01J3/28 , G01J3/433 , G01J3/02 , G01J3/12
Abstract: Systems and methods for hyperspectral imaging are described. In one implementation, a hyperspectral imaging system includes a sample holder configured to hold a sample, an illumination system, and a detection system. The illumination system includes a light source configured to emit excitation light having one or more wavelengths, and a first set of optical elements that include a first spatial light modulator (SLM), at least one lens, and at least one dispersive element. The illumination system is configured to structure the excitation light into a predetermined two-dimensional pattern at a conjugate plane of a focal plane in the sample, spectrally disperse the structured excitation light in a first lateral direction, and illuminate the sample in an excitation pattern with the one or more wavelengths dispersed in the first lateral direction.
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