Rebecca Reed

Title: Rebecca Reed and Machine-Learning-Based FISH Analysis

Introduction

Rebecca Reed is an inventor associated with Sherman Oaks, California, and Lunglife AI, Inc. Her patent work concerns the use of machine learning to analyze microscopic blood-cell images and support the detection of circulating tumor cells.

Latest Patents

Reed is associated with 1 patent: “Systems and Methods for Designing Accurate Fluorescence In-Situ Hybridization Probe Detection on Microscopic Blood Cell Images Using Machine Learning.” The patent describes processing images of a sample treated with fluorescence in situ hybridization (FISH) probes. Images are captured at different focal lengths, and the probes can selectively bind to distinct locations on chromosomal DNA.

The disclosed system identifies cell nuclei and applies a convolutional neural network to image sets to identify probe indications. It then uses the analysis to identify whether the sample contains circulating tumor cells.

Career Highlights

Reed’s listed work connects computational image analysis with FISH-based detection. The patent’s approach combines microscope images, cell-nucleus identification, and neural-network analysis to support the interpretation of probe signals.

Collaborations

Reed’s listed coworkers include Shahram Tahvilian and Lara Baden. Her company affiliation is Lunglife AI, Inc.

Conclusion

Rebecca Reed’s patent focuses on applying machine learning to microscopic FISH images, with the goal of improving probe detection and identifying circulating tumor cells.