SUB-DIFFRACTION LIMIT IMAGE RESOLUTION IN THREE DIMENSIONS

Patent №

US 10,412,366

Granted

2019-09-10

Filed 2017

Owner

HOWARD HUGHES MEDICAL INSTITUTE

+1 more

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15623658

The present invention generally relates to sub-diffraction limit image resolution and other imaging techniques, including imaging in three dimensions. In one aspect, the invention is directed to determining and/or imaging light from two or more entities separated by a distance less than the diffraction limit of the incident light. For example, the entities may be separated by a distance of less than about 1000 nm, or less than about 300 nm for visible light. In some cases, the position of the entities can be determined in all three spatial dimensions (i.e., in the x, y, and z directions), and in certain cases, the positions in all three dimensions can be determined to an accuracy of less than about 1000 nm. In one set of embodiments, the entities may be selectively activatable, i.e., one entity can be activated to produce light, without activating other entities. A first entity may be activated and determined (e.g., by determining light emitted by the entity), then a second entity may be activated and determined. The emitted light may be used to determine the x and y positions of the first and second entities, for example, by determining the positions of the images of these entities, and in some cases, with sub-diffraction limit resolution. In some cases, the z positions may be determined using one of a variety of techniques that uses intensity information or focal information (e.g., a lack of focus) to determine the z position. Non-limiting examples of such techniques include astigmatism imaging, off-focus imaging, or multi-focal-plane imaging. Other aspects of the invention relate to systems for sub-diffraction limit image resolution, computer programs and techniques for sub-diffraction limit image resolution, methods for promoting sub-diffraction limit image resolution, and the like.

AI hardwareH04N 13/204G01N 21/64G01N 21/6428G01N 21/6458G02B 21/16G02B 21/361G02B 21/367G02B 27/58+5 more

AI classification

AI hardware0.56
Vision0.15
Evolutionary computation0.01
Planning0.00
Machine learning0.00
Knowledge representation0.00
Natural language0.00
Speech0.00

Ownership

HOWARD HUGHES MEDICAL INSTITUTE

assignment · 492780151

PRESIDENT AND FELLOWS OF HARVARD COLLEGE

assignment · 492780273

Assignors

HUANG, BO

On an employer assignment, the assignors are typically the inventors.

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