Electric-field imager for assays

US10436775B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10436775-B2
Application numberUS-201715688449-A
CountryUS
Kind codeB2
Filing dateAug 28, 2017
Priority dateMay 5, 2015
Publication dateOct 8, 2019
Grant dateOct 8, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

This disclosure describes an electric-field imaging system and method of use. In accordance with implementations of the electric-field imaging system, a fluid sample can be placed on top of a pixel-based impedance sensor. An image of the target analytes can be created immediately afterwards. From this image, computer imaging algorithms can determine attributes (e.g., size, type, morphology, volume, distribution, number, concentration, or motility, etc.) of the target analytes. The electric-field imaging sensor can be used for a variety of agglutination or agglomeration assays.

First claim

Opening claim text (preview).

What is claimed is: 1. A system for analyzing a fluid sample, comprising: an impedance-based sensor including a plurality of metal panels that define an active sensor area for detecting at least one analyte in a fluid sample; and a processor configured to receive electrical signals associated with detected impedance or charge or detected changes in impedance or charge from the plurality of metal panels when the fluid sample is placed on the active sensor area, the processor further configured to assess at least one attribute of the at least one analyte in the fluid sample at least partially based on the electrical signals associated with the detected impedance or charge or the detected changes in impedance or charge. 2. The system of claim 1 , wherein the at least one attribute comprises at least one of: size, type, morphology, volume, distribution, number, concentration, or motility of the at least one analyte in the fluid sample. 3. The system of claim 1 , wherein the processor is configured to generate an image or data based upon the electrical signals associated with the detected impedance or charge or the detected changes in impedance or charge. 4. The system of claim 3 , wherein the processor is configured to assess the at least one attribute of the at least one analyte in the fluid sample at least partially based upon a comparison of the image or data with a library of stored images or data structures. 5. The system of claim 1 , further comprising: a driving electrode positioned relative to the active sensor area, the driving electrode being configured to generate an electric field, wherein the plurality of metal panels that define the active sensor area are configured to detect the electric field. 6. The system of claim 5 , wherein the driving electrode is positioned a distance above the active sensor area, and the electric field generated by the driving electrode is a substantially vertical electric field relative to the active sensor area. 7. The system of claim 1 , further comprising: a first insulator positioned over the active sensor area, the first insulator being configured to prevent the fluid sample from directly contacting sensor elements of the active sensor area. 8. The system of claim 1 , further comprising a thermal sensor configured to measure a temperature of the fluid sample. 9. The system of claim 1 , further comprising a conductivity sensor configured to measure a conductivity of the fluid sample. 10. The system of claim 1 , wherein the impedance-based sensor is further configured to measure a conductivity of the fluid sample. 11. A method for analyzing a fluid sample, comprising: placing a fluid sample on an active sensor area of an impedance-based sensor, the active sensor area including a plurality of metal panels, the fluid sample including at least one analyte; receiving electrical signals associated with detected impedance or charge or detected changes in impedance or charge from the plurality of metal panels when the fluid sample is disposed upon the active sensor area of the impedance-based sensor; and assessing at least one attribute of the at least one analyte in the fluid sample at least partially based on the electrical signals associated with the detected impedance or charge or the detected changes in impedance or charge. 12. The method of claim 11 , wherein the at least one attribute is at least one of: size, type, morphology, volume, distribution, number, concentration, or motility of the at least one analyte in the fluid sample. 13. The method of claim 11 , further comprising: generating an image or data based upon the electrical signals associated with the detected impedance or charge or the detected changes in impedance or charge. 14. The method of claim 13 , further comprising: assessing the at least one attribute of the at least one analyte in the fluid sample at least partially based upon a comparison of the image or data with a library of stored images or data structures. 15. The method of claim 11 , further comprising: generating an electric field with a driving electrode positioned relative to the active sensor area; and detecting the electric field with the plurality of metal panels that define the active sensor area, wherein the electrical signals are generated by the plurality of metal panels in response to detecting the electric field. 16. An impedance-based sensor, comprising: a plurality of metal panels that define an active sensor area for detecting at least one analyte in a fluid sample; and a processor configured to receive electrical signals associated with detected impedance or charge or detected changes in impedance or charge from the plurality of metal panels when the fluid sample is placed on the active sensor area, the processor further configured to assess at least one attribute of the at least one analyte in the fluid sample at least partially based on the electrical signals associated with the detected impedance or charge or the detected changes in impedance or charge. 17. The impedance-based sensor of claim 16 , wherein the at least one attribute comprises at least one of: size, type, morphology, volume, distribution, number, concentration, or motility of the at least one analyte in the fluid sample. 18. The impedance-based sensor of claim 16 , wherein the processor is configured to generate an image or data based upon the electrical signals associated with the detected impedance or charge or the detected changes in impedance or charge. 19. The impedance-based sensor of claim 18 , wherein the processor is configured to assess the at least one attribute of the at least one analyte in the fluid sample at least partially based upon a comparison of the image or data with a library of stored images or data structures. 20. The impedance-based sensor of claim 16 , further comprising: a driving electrode positioned relative to the active sensor area, the driving electrode being configured to generate an electric field, wherein the plurality of metal panels that define the active sensor area are configured to detect the electric field.

Assignees

Inventors

Classifications

  • by measuring electrical or magnetic effects · CPC title

  • using multielectrode arrays · CPC title

  • Apparatus specially adapted for immunological test procedures · CPC title

  • of liquid biological material · CPC title

Patent family

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Frequently asked questions

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What does patent US10436775B2 cover?
This disclosure describes an electric-field imaging system and method of use. In accordance with implementations of the electric-field imaging system, a fluid sample can be placed on top of a pixel-based impedance sensor. An image of the target analytes can be created immediately afterwards. From this image, computer imaging algorithms can determine attributes (e.g., size, type, morphology, vol…
Who is the assignee on this patent?
Maxim Integrated Products
What technology area does this patent fall under?
Primary CPC classification G01N33/5302. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Oct 08 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).