Jesper Lohse

Title: Jesper Lohse: Advancing Tissue Imaging and Virtual Staining

Introduction

Jesper Lohse is an inventor based in Santa Clara, California, and works at Agilent Technologies, Inc. His patent work includes a machine-learning approach to analyzing biological images and generating ground-truth labels for tissue samples.

Latest Patents

Lohse is associated with 1 patent: “Tissue staining and sequential imaging of biological samples for deep learning image analysis and virtual staining.” The patent describes creating a multi-record training dataset from images of tissue samples. The images depict groups of biological objects, including objects presenting biomarkers, and include labels identifying object categories. A machine-learning model is trained on this dataset to generate ground-truth labels for biological objects in corresponding input images.

Career Highlights

Lohse’s patent reflects work at the intersection of tissue imaging, biological object classification, and machine learning. The described method aims to support automated image analysis and virtual staining by generating labels for objects shown in tissue images.

Collaborations

The provided information identifies Frederik Aidt and Elad Arbel as Lohse’s coworkers. The patent’s focus on training data and image analysis aligns with collaborative work across technical and biological fields, though specific contributions by these coworkers are not stated.

Conclusion

Jesper Lohse’s patent work at Agilent Technologies, Inc. centers on using machine learning to classify biological objects in tissue images, supporting research into deep learning image analysis and virtual staining.