Ruoyang Yao

Title: Ruoyang Yao: Innovator in Fluorescence Lifetime Imaging

Introduction

Ruoyang Yao is a prominent inventor based in Elmhurst, NY (US). He has made significant contributions to the field of fluorescence lifetime imaging, showcasing his expertise through his innovative patents. With a total of 2 patents, Yao is recognized for his advancements in imaging technology.

Latest Patents

One of Ruoyang Yao's latest patents focuses on fluorescence lifetime imaging using deep learning. This invention provides an apparatus that includes a deep neural network (DNN). The DNN is structured with a first convolutional layer, several intermediate layers, and an output layer. The first convolutional layer is designed to receive fluorescence lifetime imaging (FLI) input data. Each intermediate layer processes respective inputs from prior layers and generates corresponding outputs. The output layer then delivers estimated FLI output data based on the received input data. Notably, the DNN is trained using synthetic data, enhancing its accuracy and efficiency.

Career Highlights

Ruoyang Yao is affiliated with Rensselaer Polytechnic Institute, where he continues to push the boundaries of research and innovation. His work has garnered attention in the scientific community, particularly for its practical applications in imaging technologies.

Collaborations

Yao collaborates with notable colleagues, including Jason Tyler Smith and Xavier Intes. Their combined expertise contributes to the advancement of research in fluorescence lifetime imaging and related fields.

Conclusion

Ruoyang Yao's contributions to fluorescence lifetime imaging through his innovative patents highlight his role as a leading inventor in the field. His work not only advances technology but also paves the way for future developments in imaging techniques.