Chinmay Savadikar

Title: Chinmay Savadikar: Machine Learning for Fluorescence Imaging

Introduction

Chinmay Savadikar is an inventor associated with Pune, India, and Lunglife AI, Inc. His patent work applies machine learning to fluorescence in-situ hybridization (FISH) imaging, with a focus on detecting probe signals in microscopic blood cell images.

Latest Patents

Savadikar is associated with 1 patent, titled “Systems and Methods for Designing Accurate Fluorescence In-Situ Hybridization Probe Detection on Microscopic Blood Cell Images Using Machine Learning.”

The patent describes processor-executable instructions for analyzing image sets of a sample treated with FISH probes. Images in each set are captured at different focal lengths, and the probes can selectively bind to distinct locations on chromosomal DNA. The system identifies cell nuclei and uses a convolutional neural network to select a probe indication from the images. It can then identify whether the sample contains circulating tumor cells.

Career Highlights

Savadikar’s disclosed invention combines fluorescence microscopy, image processing, and neural-network analysis. Its approach is designed to support accurate probe detection in microscopic blood cell images and the identification of circulating tumor cells.

Collaborations

Savadikar’s listed coworkers include Shahram Tahvilian and Lara Baden. He is associated with Lunglife AI, Inc.

Conclusion

Chinmay Savadikar’s patent highlights the use of machine learning to analyze FISH microscopy images and support circulating tumor cell detection.