Quanterix Corporation

Illumina Corporation

Ab Initio Technology LLC

Cytoveris, Inc.

Other

David Fournier

David C Duffy

David M Rissin

Cheuk Wai Kan

John A Moon

David R Walt

Alan D Kersey

Martin A Putnam

Joseph Francis Pinto

Tuo Li

Rishikesh Pandey

John Lawson

Michael Kagan

Todd Campbell

Andrew Rivnak

Gary Root

James C Dunphy

James R Dunphy

Robert N Brucato

Charles Winston

Ian Schechter

James S Sirkis

Carl Richard Feynman

Joyce L Vigneau

Ralph W Jones

Ben Thomas

Jennifer M Farver

Christopher Chestnut

Gary Fernandez

Ben Fisher

James Sirkis

Ralph Jones

The present invention relates to systems and methods for detecting analyte molecules or particles in a fluid sample and in some cases, determining a measure of the concentration of the molecules or particles in the fluid sample. Methods of the present invention may comprise immobilizing a plurality of analyte molecules or particles with respect to a plurality of capture objects. At least a portion of the plurality of capture objects may be spatially separated into a plurality of locations. A measure of the concentration of analyte molecules in a fluid sample may be determined, at least in part, on the number of reaction vessels comprising an analyte molecule immobilized with respect to a capture object. In some cases, the assay may additionally comprise steps including binding ligands, precursor labeling agents, and/or enzymatic components.

Ultra-sensitive detection of molecules or particles using beads or other capture objects

Described herein are systems and methods for extending the dynamic range of assay methods and systems used for determining the concentration of analyte molecules or particles in a fluid sample. In some embodiments, a method comprises spatially segregating a plurality of analyte molecules in a fluid sample into a plurality of locations. At least a portion of the locations may be addressed to determine the percentage of said locations containing at least one analyte molecule. Based at least in part on the percentage, a measure of the concentration of analyte molecules in the fluid sample may be determined using an analog, intensity-based detection/analysis method/system and/or a digital detection/analysis method/system. In some cases, the assay may comprise the use of a plurality of capture objects.

Methods and systems for extending dynamic range in assays for the detection of molecules or particles

Described are systems, devices, and methods which related to various aspects of assays for detecting and/or determining a measure of the concentration of analyte molecules or particles in a sample fluid. In some cases, the systems employ an assay consumable comprising a plurality of assay sites. The systems, devices, and/or methods, in some cases, are automated. In some cases, the systems, devices, and/or methods relate to inserting a plurality of beads into assay sites, sealing assay sites, imaging assay sites, or the like.

Systems, devices, and methods for ultra-sensitive detection of molecules or particles

A system for processing Raman scattering light from a sample is provided. The system includes a source, a digital mirror device (DMD), a detector, and an analyzer. The DMD is configured to reflect Raman scattering light and includes micromirrors selectively controllable between ON and OFF states. The detector is configured to detect Raman scattering light and to produce signals representative of the Raman scattering light. The analyzer is in communication with the light source, the DMD, the detector, and a memory storing instructions, which instructions when executed cause the processor to: a) control the light source to produce a beam of light for interrogating the sample; b) control the DMD to place in an ON or OFF state based on one or more known spectral shapes stored in the memory; and c) process the Raman scattering light reflected by the micromirrors in the ON state.

Raman spectroscopy-based optical matched filter system and method for using the same

A system and method for assaying high and low abundant biomolecules within a biological fluid sample is provided. The method includes: a) placing a biological fluid sample in contact with a first nanostructure surface; b) interrogating the sample with a light source, the sample in contact with the first nanostructure surface, the interrogation using a SERS technique; c) detecting an enhanced Raman scattering from at least one high abundant biomolecule type and producing first signals representative thereof; d) placing the sample in contact with a second nanostructure surface having a targeting agent that targets a low abundant biomolecule; e) interrogating the sample with the light source using the SERS technique; f) detecting the enhanced Raman scattering from the low abundant biomolecules and producing second signals representative thereof; and g) assaying the biological fluid sample using the first signals and the second signals.

Raman spectroscopy based assay for both low and high abundant biomolecules in a biological fluid sample

A method and system for identifying a Raman spectrum component of an observed spectrum is provided. The observed spectrum is produced by interrogating a material such as a tissue sample with light at the one or more predetermined wavelengths, and the observed spectrum includes a background fluorescence component representative of fluorescent emissions resulting from the light interrogation and a Raman spectrum component representative of a Raman scattering resulting from the light interrogation. The method includes a) creating a reconstructed fluorescence spectrum representative of the background fluorescence component of the observed spectrum using one or more empirically determined fluorescent spectral profiles; and b) identifying the Raman spectrum of the observed spectrum using the reconstructed fluorescence spectrum.

Method and apparatus for identifying a Raman spectrum from background fluorescence

In one aspect, in general, a computer-implemented method includes receiving an order-dependent list of rules generating a binary decision diagram based on the order-dependent list of rules, the binary decision diagram including decision nodes that include expressions including Boolean operators and operands, and generating an order-independent list of rules based on the binary decision diagram.

Converting rules in data processing systems

In some aspects, a method includes connecting over a network to a data storage system, the data storage system storing data objects. A dataflow graph that includes nodes representing data processing components connected by links that represent flows of data access an interface of the data storage system. The interface provides functions for accessing the data objects. At least one of the data processing components performs operations on a received input flow of data that enable the functions provided by the interface to modify one or more stored data objects, and performs operations in response to functions provided by the interface to generate an output flow of data.

Communicating with data storage systems

Among other aspects disclosed are a method and system for detecting confidential information. The method includes reading stored data and identifying strings within the stored data, where each string includes a sequence of consecutive bytes which all have values that are in a predetermined subset of possible values. For each of at least some of the strings, determining if the string includes bytes representing one or more format matches, wherein a format match includes a set of values that match a predetermined format associated with confidential information. For each format match, testing the values that match the predetermined format with a set of rules associated with the confidential information to determine whether the format match is an invalid format match that includes one or more invalid values and calculating a score for the stored data, based at least in part upon the ratio of a count of invalid format matches to a count of other format matches.

Detection of confidential information

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Northborough, MA, United States of America

David Fournier