Company Filing History:
Years Active: 2019-2025
Title: Hatice Ceylan Koydemir: Innovator in Microorganism Detection
Introduction
Hatice Ceylan Koydemir is a prominent inventor based in Los Angeles, California. She has made significant contributions to the field of microorganism detection through her innovative patents. With a total of three patents to her name, Koydemir is recognized for her groundbreaking work that combines imaging technology and deep learning.
Latest Patents
Koydemir's latest patents include "Systems and methods for the early detection and classification of live microorganisms using time-lapse coherent imaging and deep learning." This patent describes a system designed to detect and classify live microorganisms in a sample using a light source and an incubator. The system captures time-lapse holographic images of microorganisms, employing image processing software that utilizes trained deep neural networks for accurate detection and classification.
Another notable patent is the "Device and method for motility-based label-free detection of motile objects in a fluid sample." This invention focuses on detecting motile objects, such as parasites, in fluid samples by leveraging their locomotion as a specific biomarker. The imaging platform includes optically transparent sample holders and a moveable scanning head that captures time-varying holographic speckle patterns, enabling the generation of a 3D contrast map of motile objects.
Career Highlights
Koydemir is affiliated with the University of California, where she continues to advance her research and innovations. Her work has garnered attention for its potential applications in medical diagnostics and environmental monitoring.
Collaborations
Koydemir collaborates with esteemed colleagues, including Aydogan Ozcan and Bingen Cortazar, who contribute to her research endeavors and enhance the impact of her inventions.
Conclusion
Hatice Ceylan Koydemir is a trailblazer in the field of microorganism detection, with her innovative patents paving the way for advancements in imaging technology and deep learning applications. Her contributions are poised to make a significant impact in various scientific fields.