AUTOMATED MACROMOLECULAR CRYSTAL DETECTION SYSTEM AND METHOD

Patent №

US 7,227,983

Granted

2007-06-05

Filed 2003

Owner

REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10452668

An automated macromolecular method and system for detecting crystals in two-dimensional images, such as light microscopy images obtained from an array of crystallization screens. Edges are detected from the images by identifying local maxima of a phase congruency-based function associated with each image. The detected edges are segmented into discrete line segments, which are subsequently geometrically evaluated with respect to each other to identify any crystal-like qualities such as, for example, parallel lines, facing each other, similarity in length, and relative proximity. And from the evaluation a determination is made as to whether crystals are present in each image.

VisionG06V 10/443G06V 10/431

AI classification

Vision1.00
AI hardware0.02
Machine learning0.00
Natural language0.00
Speech0.00
Evolutionary computation0.00
Planning0.00
Knowledge representation0.00

Ownership

REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE

assignment · 145410427

Assignors

CHRISTIAN, ALLEN T., SEGELKE, BRENT, RUPP, BERNARD, TOPPANI, DOMINIQUE

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

© 2026 NYSGPT2525 LLC