General Electric Company

Leica Microsystems Cms Gmbh

Dmitry Vladimirovich Dylov

Siavash Yazdanfar

Victor Petrovich Ostroverkhov

Stephen Barnett Solomon

Alberto Santamaria-Pang

Arunkumar Natarajan

Anup Sood

Evgenia Mikhailovna Kim

Michael Ernest Marino

Qing Li

Daniel Eugene Meyer

Jeremy C Durack

Patrick Joseph McCloskey

Eugene Pauling Boden

James Edward Pickett

Kwok Pong Chan

Vasile Bogdan Neculaes

Matthew Jeremiah Misner

Michael John Gerdes

Ali Can

Brian Michael Davis

Allen Lawrence Garner

Kenneth Roger Conway

Lakshmi Sireesha Kaanumalle

Evelina Roxana Loghin

Fiona Ginty

Abhijit Vishwas Patil

Christopher James Sevinsky

Vignesh Thirukazhukundram Subrahmaniam

Chulmin Joo

Sridhar Dasaratha

Rajesh Veera Venkata Lakshmi Langoju

Yunxia Sui

Vijay Krishna Paruchuru

Aritra Chowdhury

Elizabeth Mary McDonough

Patrick Joseph Mccloskey

The invention discloses a method for reduction of autofluorescence in biological samples, comprising the steps of:

Method for reduction of autofluorescence from biological samples

The present approach relates to the use of trained artificial neural networks, such as convolutional neural networks, to classify vascular structures, such as using a hierarchical classification scheme. In certain approaches, the artificial neural network is trained using training data that is all or partly derived from synthetic vascular representations.

Methods of systems of generating virtual multi-dimensional models using image analysis

A biopsy collecting device includes a needle unit comprising a biopsy specimen. Also, the biopsy collecting device includes an activator unit operatively coupled to the needle unit and including a channel at a bottom surface of the activator unit, wherein the channel is configured to detachably couple the biopsy collecting device to an attaching unit of a spectroscopy system.

System and method for attaching a biopsy collecting device to a spectroscopy system

The subject matter of the present disclosure generally relates to techniques for image analysis. In certain embodiments, various morphological or intensity-based features as well as different thresholding approaches may be used to segment the subpopulation of interest and classify object in the images.

Systems and methods for automatic generation of training sets for machine interpretation of images

A method in one embodiment includes acquiring optical image information with a detection unit configured to be operably coupled to a patient. The optical image information corresponds to microcirculation of the patient. The method also includes generating a microcirculation map of microvasculature of the patient using the optical image information. Further, the method includes generating a quantitative microcirculation index based on the microcirculation map, the quantitative microcirculation index corresponding to a condition of the patient.

Systems and methods for quantitative microcirculation state monitoring

A method for classifying a tissue sample of a biopsy specimen includes receiving a signal from at least one location of the tissue sample including a plurality of chromophores. Further, the method includes verifying whether the received signal comprises a predetermined amount of at least one of an attenuated illumination light and a re-emitted light. Also, the method includes determining that a spectrum of the received signal is within a predetermined range. In addition, the method includes processing the spectrum of the received signal to decompose the signal into a plurality of components. Furthermore, the method includes classifying tissue in the at least one location of the tissue sample into one of a plurality of tissue types based on the plurality of components.

A spectroscopy system for auto-aligning a biopsy collecting device is presented. The spectroscopy system includes an illumination subsystem configured to emit an illumination light towards the biopsy collecting device, whereas the biopsy collecting device includes an activator unit and a needle unit and wherein the needle unit includes a cannula and a stylet having a biopsy specimen. Also, the spectroscopy system includes a fixation subsystem capable of holding the biopsy collecting device and configured to place the needle unit comprising the biopsy specimen across the illumination light. Further, the spectroscopy system includes a detection subsystem configured to receive a light comprising at least one of an attenuated illumination light and a re-emitted light from the needle unit. In addition, the detection subsystem is configured to send a control signal to align the needle unit at a predetermined position in the spectroscopy system based on the received light.

System and method for aligning a biopsy collecting device

Systems and methods described herein employ multiple phase-contrast images with various relative phase shifts between light diffracted by a sample and light not diffracted by the sample to produce a quantitative phase image. The produced quantitative phase image may have sufficient contrast for label-free auto-segmentation of cell bodies and nuclei.

Quantitative phase microscopy for label-free high-contrast cell imaging

A method for classifying a tissue sample of a biopsy specimen into one of a plurality of classes is presented. The method includes receiving a light from at least one location of the tissue sample including a plurality of chromophores, wherein the received light comprises at least one of an attenuated illumination light and a re-emitted light. The method further includes processing a spectrum of the received light to determine a feature for each of the chromophores in the at least one location of the tissue sample. In addition, the method includes estimating a Z-score for each of the chromophores based on the determined feature. Also, the method includes classifying the tissue sample into one of the plurality of classes based on the estimated Z-score for each of the chromophores.

System and method for optical biopsy tissue characterization

A method of delivering exogenous molecules, comprising: providing a plurality of cells having a cell membrane; adding a plurality of exogenous molecules to the cells; exposing the cells to a defocused infrared (IR) light to permeabilize the cell membrane of the cells; and delivering the exogenous molecules to the cells through the permeablized cell membrane, wherein an intensity of the IR light at the optical focus is at least greater than or equal to an order of 10W/cm.

Optical based delivery of exogenous molecules to cells

In accordance with one aspect of the present invention, a method for recording holographic data in an optical data storage medium is provided. The method includes (i) providing an optical data storage medium including: (a) a thermoplastic polymer matrix, (b) a latent acid generator, (c) a non-linear sensitizer, and (d) a reactant including a latent chromophore. The method further includes (ii) irradiating a volume element of the optical data storage medium with an interference pattern, said interference pattern including an incident radiation having a wavelength and an intensity sufficient to cause upper triplet energy transfer from the non-linear sensitizer to the latent acid generator, thereby generating an acid, wherein the latent acid generator is substantially non-responsive to said incident radiation. The method furthermore includes (iii) reacting at least one protected chromophore with the acid generated to form at least one chromophore, thereby causing a refractive index change within the volume element; and (iv) producing within the irradiated volume element refractive index variations corresponding to the interference pattern, thereby producing an optically readable datum. An optical data storage medium is also provided.

Method of recording data in an optical data storage medium and an optical data storage medium

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Clifton Park, NY, United States of America

Dmitry Vladimirovich Dylov