Verily Life Sciences LLC

Seung Ah Lee

Chinmay Belthangady

Supriyo Sinha

Charles Santori

John D Perreault

Sam Kavusi

Eden Rephaeli

Daniele Paolo Piponi

Tamara Troy

Cheng-Hsun Wu

James Michael Higbie

Eliezer Glik

Ryan Kramer

Suresh Alla

Faisal Mahmood Kashif

Maximilian Kapczynski

Brian M Rabkin

Scott Ettinger

Victor Marcel Acosta

The technology described herein is directed to a fundus camera and, more specifically, to a fundus camera having a display that projects active visual alignment stimuli onto an eye of an examinee via one or more components of an optimal assembly. The active visual alignment stimuli are dynamically adjusted to guide an examinee toward optical alignment for fundus imaging.

Active visual alignment stimuli in fundus photography

Systems, apparatuses, and methods for detecting carious lesions are described herein. In an example, the systems in an optical interrogator including a single-pixel photodetector responsive to short-wave infrared light and operatively coupled to a controller. In an example the optical interrogator includes a light engine for emitting light, a scanning mirror assembly and a single-pixel photodetector. In an example, the methods include causing the light engine to emit light having wavelengths in a range of about 900 nm to about 1,700 nm; selectively directing the light over different portions of a tooth with a scanning mirror assembly to provide scattered light; and correlating scattered light signals generated by the single-pixel photodetector in response to the scattered light with the portion of the tooth.

Systems for detecting carious lesions in teeth using short-wave infrared light

Embodiments may include a method to estimate motion data based on test image data sets. The method may include receiving a training data set comprising a plurality of training data elements. Each element may include an image data set and a motion data set. The method may include training a machine learning model using the training data set, resulting in identifying one or more parameters of a function in the machine learning model based on correspondences between the image data sets and the motion data sets. The method may further include receiving a test image data set. The test image data set may include intensities of pixels in a deep-tissue image. The method may include using the trained machine learning model and the test image data set to generate output data for the test image data set. The output data may characterize motion represented in the test image data set.

Speckle contrast analysis using machine learning for visualizing flow

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.

Light sheet imaging flow cytometer

Systems, apparatuses, and methods for detecting carious lesions are described herein. In an example, the systems in an optical interrogator including a single-pixel photodetector responsive to short-wave infrared light and operatively coupled to a controller. In an example the optical interrogator includes a plurality of lasers for emitting laser light, a scanning mirror assembly and a single-pixel photodetector. In an example, the methods include causing the plurality of lasers to emit the laser light having wavelengths in a range of about 900 nm to about 1,700 nm; selectively directing the laser light over different portions of a tooth with a scanning mirror assembly to provide scattered light; and correlating scattered light signals generated by the single-pixel photodetector in response to the scattered light with the portion of the tooth.

The present disclosure relates to optical systems for fluorescence-based imaging. An example optical system includes an image sensor. The image sensor is sensitive to at least a first wavelength of light and a second wavelength of light. The optical system also includes a light guiding layer optically coupled to the image sensor and a light source positioned to emit light into a side surface of the light guiding layer. The emitted light includes light at the first wavelength and the emitted light is transmitted in an in-plane direction in the light guiding layer. The optical system further includes a thin film filter and an output coupler optically coupled to the light guiding layer. At least a portion of the emitted light transmitted in an in-plane direction in the light guiding layer is coupled out of the light guiding layer in an out-of-plane direction via the output coupler.

Thin stackup for diffuse fluorescence system

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.

Systems and methods for 4-D hyperspectral imaging

A hyperspectral camera system includes an input optical assembly, a lenslet array, a dispersion element, and an image sensor. The input optical assembly magnifies an image of a sample onto an image plane. The lenslet array is positioned approximately at the image plane and includes a 2D array of microlenses that concentrate the image into an array of image portions. Each of the image portions has a smaller area than a corresponding one of the microlenses and the image portions are at least partially separated from each other by interstitial regions. The dispersion element is disposed in the optical path of the image to spatially disperse spectral components in each of the image portions to generate spectrum stripes that spatially spread different spectral components of the image sourced from a single sample location within the sample. The image sensor captures a snapshot image of the spectrum stripes.

Lenslet based snapshot hyperspectral camera

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.

A fundus camera and method of operating the fundus camera are described. The fundus camera includes an image sensor, an eyepiece lens, an illumination source, and an alignment target. The image sensor captures image light of a retina within an eye. The eyepiece lens is disposed to pass the image light of the retina to the image sensor. The illumination source is disposed to direct illumination light onto the retina through the eyepiece lens. The illumination source is further disposed around a first aperture through which the image light of the retina passes from the eyepiece lens to the image sensor. The alignment target is coupled to output an alignment image through the eyepiece lens to the eye and disposed around a second aperture through which the image light of the retina is passed to the image sensor and the illumination light is passed to the eyepiece lens.

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San Francisco, CA, United States of America

Seung Ah Lee