skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Automated macromolecular crystal detection system and method

Abstract

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.

Inventors:
 [1];  [2];  [3];  [4]
  1. Tracy, CA
  2. San Ramon, CA
  3. Livermore, CA
  4. Fontainebleau, FR
Publication Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
909579
Patent Number(s):
7,227,983
Application Number:
10/452,668
Assignee:
The Regents of the University of California (Oakland, CA)
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Christian, Allen T, Segelke, Brent, Rupp, Bernard, and Toppani, Dominique. Automated macromolecular crystal detection system and method. United States: N. p., 2007. Web.
Christian, Allen T, Segelke, Brent, Rupp, Bernard, & Toppani, Dominique. Automated macromolecular crystal detection system and method. United States.
Christian, Allen T, Segelke, Brent, Rupp, Bernard, and Toppani, Dominique. 2007. "Automated macromolecular crystal detection system and method". United States. https://www.osti.gov/servlets/purl/909579.
@article{osti_909579,
title = {Automated macromolecular crystal detection system and method},
author = {Christian, Allen T and Segelke, Brent and Rupp, Bernard and Toppani, Dominique},
abstractNote = {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.},
doi = {},
url = {https://www.osti.gov/biblio/909579}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2007},
month = {6}
}