Nautilus Subsidiary, Inc.

Other

Varian Medical Systems, Inc.

Calypso Medical Technologies, Inc.

Ryan Kempston Seghers

David Stern

Vadim Lobanov

Sujal M Patel

Parag Mallick

Jarrett D Egertson

Stephen Phillips

Shih-Jong James Lee

Steven Charles Dimmer

Seho Oh

Pierre F Indermuhle

J Nelson Wright

Ezra Van Gelder

Torri Elise Rinker

Daniel Horner

Pengyu Hao

Maryam Jouzi

Kevin Chen

The present disclosure provides systems and methods for detecting components of an array of biological, chemical, or physical entities. In an aspect, the present disclosure provides a method for detecting an array of biological, chemical, or physical entities, comprising: (a) using one or more light sensing devices, acquiring pixel information from sites in an array, wherein the sites comprise biological, chemical, or physical entities that produce light; (b) processing the pixel information to identify a set of regions of interest (ROIs) corresponding to the sites in the array that produce the light; (c) classifying the pixel information for the ROIs into a categorical classification from among a plurality of distinct categorical classifications, thereby producing a plurality of pixel classifications; and (d) identifying one or more components of the array of biological, chemical, or physical entities based at least in part on the plurality of pixel classifications.

Methods and systems for computational decoding of biological, chemical, and physical entities

Compositions, systems, and methods are disclosed for preparing and utilizing arrays, such as single-analyte arrays containing a plurality of fiducial elements with random spatial distributions. Arrays may be prepared with pluralities of fiducial elements comprising optically active or passive moieties. Arrays containing random spatial distributions of fiducial elements may be utilized for various array-based processes that require spatial information.

Integrated arrays for single-analyte processes

A facility for processing data is described. The facility receives a stream of digital location indications, each location indication identifying a location of a patient while undergoing radiation therapy. In response to each location indication of the string, in substantially real-time relative to the receipt of the position indication, the facility performs an action responsive to the location indication.

Data processing for real-time tracking of a target in radiation therapy

A facility for performing patient localization for radiation therapy is described. The facility activates two or more discrete software modules, and performs interactions between the activated software modules. Based upon the performed interactions, the facility performs patient localization for a radiation therapy session.

Modular software system for guided radiation therapy

A polar coordinate representation of a template image is projected onto the radius axis and rotation axis. Linear transformation of the radius projection provides multiple templates for rapid one dimensional scale search. Pattern matching of the angular projection onto the rotation axis facilitates rapid one dimensional pattern match for rotation variation. The invention overcomes the speed limitation of the normalized correlation template matching method when the pattern being searched is subject to rotation or size variation. A fast correlation method uses a weighted histogram sum to compute the correlation score.

Rotation and scale invariant pattern matching method

Growing community of inventors

Kirkland, WA, United States of America

Ryan Kempston Seghers