Company Filing History:
Years Active: 2019
Title: Oren Kraus - Innovator in Microscopy Image Analysis
Introduction
Oren Kraus is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of microscopy image analysis through his innovative patent. His work focuses on utilizing advanced neural network architectures to enhance the classification and segmentation of microscopy images.
Latest Patents
Oren Kraus holds a patent titled "System and method for classifying and segmenting microscopy images with deep multiple instance learning." This patent describes systems and methods that receive microscopy images as input, extract features, and apply layers of processing units to compute a set of cellular phenotype features. These features correspond to cellular densities and/or fluorescence measured under various conditions. The system employs a convolutional neural network followed by a multiple instance learning (MIL) pooling layer. Notably, it does not require segmentation steps or per cell labels, as the convolutional neural network can be trained and tested directly on raw microscopy images in real-time. The system computes class-specific feature maps for every phenotype variable using a fully convolutional neural network and aggregates across these feature maps using multiple instance learning. Ultimately, it produces predictions for one or more reference cellular phenotype variables based on populations of cells captured in microscopy images.
Career Highlights
Oren Kraus is associated with Phenomic AI Inc., where he applies his expertise in deep learning and image analysis. His innovative approach has positioned him as a key player in the development of advanced microscopy techniques.
Collaborations
Oren has collaborated with notable individuals in his field, including Jimmy Ba and Brendan John Frey. Their combined efforts contribute to the advancement of technology in microscopy image analysis.
Conclusion
Oren Kraus is a pioneering inventor whose work in microscopy image analysis is shaping the future of cellular research. His innovative patent demonstrates the potential of deep learning in enhancing our understanding of cellular phenotypes.