This inventor holds 1 USPTO granted patent and 2 published patent applications, plus 1 CIPO patent and 1 EPO patent. Top assignee: Allen Institute. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Liya Ding: Innovator in 3D Microscopy Imaging
Introduction
Liya Ding is a prominent inventor based in Newcastle, WA (US). She has made significant contributions to the field of microscopy through her innovative work in deep learning and image analysis. Her research focuses on enhancing the identification of 3D intracellular structures, which is crucial for advancements in biological and medical research.
Latest Patents
Liya Ding holds a patent for her invention titled "Segmenting 3D intracellular structures in microscopy images using an iterative deep learning workflow that incorporates human contributions." This patent describes a facility designed to identify the boundaries of three-dimensional structures in 3D images. The facility receives initial boundary identification results for multiple 3D images and presents these results to a person for feedback. The input from the person is then utilized to train a deep-learning network, improving the accuracy of boundary identification in future analyses.
Career Highlights
Liya Ding is currently associated with the Allen Institute, where she applies her expertise in deep learning and microscopy. Her work has been instrumental in developing advanced methodologies that bridge the gap between human insight and machine learning in image analysis.
Collaborations
Liya collaborates with talented individuals such as Jianxu Chen and Matheus Palhares Viana, contributing to a dynamic research environment that fosters innovation and discovery.
Conclusion
Liya Ding's contributions to the field of microscopy and deep learning exemplify the impact of innovative thinking in scientific research. Her work not only advances technology but also enhances our understanding of complex biological structures.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile