Cornell University

Pocketgems, Inc.

The Blindsight Corporation

Daniel Terry

Matthew Joseph Donahoe

Scott C Blanchard

James Munro

Mark Nitzberg

Alan Yuille

Alan Lac

Xiangrong Chen

Peter Geggier

Stellan Lagerstrom

Automatically selecting time traces from a fluorescence experiment, in one aspect, may include capturing results of the fluorescence experiment in a moving image; localizing sources of fluorescence in the moving image; producing time traces of each fluorescent source by monitoring fluorescence intensity of said localized sources in the moving image over time; removing unuseful time traces from said produced time traces; and selecting useful time traces from said produced time traces based on one or more defined criteria. FRET traces from selected time traces may be further calculated and analyzed. A unified computer-implemented platform in one aspect may include tools to locate single molecules, extract traces, classify smFRET traces according to adjustable parameters, and quantify the kinetic parameters of FRET transitions using analytical procedures such as Hidden Markov Modeling (HMM) procedures.

Computer-implemented platform for automated fluorescence imaging and kinetic analysis

In an embodiment, a computerized method comprises receiving a meta-language file comprising a conversion of a script file in a natural language format, the script file including a plurality of natural language statements; interpreting, by a first computing device, the meta-language file to execute at least a first portion of the meta-language file; dynamically generating and displaying, on the first computing device, one or more visually animated graphical elements in accordance with the execution of at least the first portion of the meta-language file.

Animated audiovisual experiences driven by scripts

A method and apparatus for detecting text in real-world images comprises calculating a cascade of classifiers, the cascade comprising a plurality of stages, each stage including one or more weak classifiers, the plurality of stages organized to start out with classifiers that are most useful for ruling out non-text regions, and removing regions classified as non-text regions from the cascade prior to completion of the cascade, to further speed up processing.

System and method for detecting text in real-world color images

Growing community of inventors

New York, NY, United States of America

Daniel Terry