Applied Materials, Inc.

Suraj Rengarajan

Srinivas Gandikota

Robert Jan Visser

Seshadri Ganguli

Prerna Sonthalia Goradia

Geetika Bajaj

Tapashree Roy

Riya Dutta

Shubhayan Bhattacharya

Kiran Rangaswamy Aatre

According to certain embodiments, a system for detection of anomalous cells, comprises a hyperspectral imaging system; a memory having executable instructions stored thereon; and a processor configured to execute the executable instructions to cause the system to: receive a patient hyperspectral image comprising a pixel spectral signature for each pixel of the received patient hyperspectral image; classify the patient hyperspectral image by a machine learning model trained to classify hyperspectral images based on pixel spectral signatures; and provide an indication that the patient hyperspectral image contains an anomalous cell type, responsive to the classifying.

Artificial intelligence-based hyperspectrally resolved detection of anomalous cells

A processing method comprises positioning a substrate in a processing chamber and setting a temperature of the substrate to a range of 50° C. to 500° C.; conducting an atomic layer deposition (ALD) cycle on the substrate; and repeating the ALD cycle to form a silicon oxide film. The ALD cycle comprises: exposing the substrate to an aminosilane precursor in the processing chamber by pulsing a flow of the aminosilane precursor; purging the processing chamber of the aminosilane precursor; exposing the substrate to an oxidizing agent by pulsing a flow of the oxidizing agent for a duration in a range of greater than or equal to 100 milliseconds to less than or equal to 3 seconds; and purging the processing chamber of the oxidizing agent.

Deposition of silicon-based dielectric films

Growing community of inventors

Bengaluru, India

Suraj Rengarajan