Automated method for image analysis of residual protein

Image analysis – Applications – Biomedical applications

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Reexamination Certificate

active

07660449

ABSTRACT:
A method for measuring residual protein in a cellular specimen including obtaining a low magnification image of a candidate object of interest, filtering the candidate object of interest pixels with a low pass filter, morphologically processing the candidate object of interest pixels to identify artifact pixels, identifying the candidate object of interest by eliminating artifact pixels, acquiring a higher magnification image of the subsample for the candidate object of interest, transforming pixels of the higher magnification image in a first color space to a second color space to differentiate higher magnification candidate object of interest pixels from background pixels, identifying an object of interest from the candidate object of interest pixels in the second color space, and determining the optical density of the protein in a cell contained in a subsample, wherein the optical density is indicative of the residual component of a cellular protein.

REFERENCES:
patent: 4341802 (1982-07-01), Hopkins
patent: 5595740 (1997-01-01), Brady
patent: 5925802 (1999-07-01), Estes et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Automated method for image analysis of residual protein does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Automated method for image analysis of residual protein, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated method for image analysis of residual protein will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4190250

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.