Kla Tencor Corporation

Kla-tencor Technologies Corporation

Kla Instruments Corporation

John S Taylor

Richard Wallingford

Eliezer Rosengaus

Jason Z Lin

Lawrence Robert Miller

Mark J Roulo

Krishnamurthy Bhaskar

Paul T Russell

Kishore Bubna

Curt H Chadwick

Richard R Simmons

David J Clark

Lee H Veneklasen

Alan D Brodie

Chung-Shih Pan

John D Greene

Eric Munro

Ralph T Johnson

Chetana Bhaskar

Dan Meisburger

Anil A Desai

Timothy L Hutcheson

John McMurtry

Jack Y Jau

April Dutta

Barry Becker

Kirkwood Rough

Dennis G Emge

Henry Pearce-Percy

Paul Wieczorek

Dean Walters

Sam Wong

Surendra Lele

Chun C Lin

Hoi T Nguyen

Yen-Jen Oyang

Chris Kirk

Art M Shulenberger

Ming-Yie Ling

Hans Dohse

Ray Paul

Mike Robinson

David E Smith

An inspection system for detecting anomalies on a substrate. The inspection system has a sensor array for generating image data. A first high speed network is coupled to the sensor array and receives and communicates the image data. An array of process nodes is coupled to the first high speed network, and receives and processes the image data to produce anomaly reports. Each process node has an interface card coupled to the first high speed network, that receives the image data from the first high speed network and formats the image data according to a high speed interface bus protocol. The interface card sets a register indicating whether a predetermined amount of image data has been stored in a memory, and the process node reads the register to determine whether the predetermined amount of image data has been stored in the memory, and initiates image processing when the register indicates that the predetermined amount of image data has been stored in the memory.

Status polling

An inspection system for detecting anomalies on a substrate. A first network is coupled to a sensor array and communicates data. Process nodes are coupled to the first network, and process the data to produce reports. Each process node includes memory sufficient to buffer the data until it can process the data. Each process node has an interface card that formats the data for a high speed interface bus that is coupled to the interface card. A computer receives and processes the data to produce the report. A second network receives the reports. A job manager is coupled to the second network, receives the reports, and sends information to the process nodes to coordinate processing of the data.

Memory load balancing

An inspection image analysis system. At least one image processing computer is configured to receive and analyze at least one portion of an image. At least one test computer is configured to receive at least one common portion of the image also received by the at least one image processing computer, and to analyze the at least one common portion, using equivalent image processes as the corresponding at least one image processing computer. A job manager is configured to assign the common portion and to configure the corresponding image processing computer and the test computer to run equivalent image processes.

Mirror node process verification

An inspection system. The inspection system has a sensor for generating data. A first network is coupled to the sensor and communicates the data. An array of nodes is coupled to the first network, and processes the data to produce reports. Each node has an interface coupled to the first network, and formats the data according to protocol. A bus is coupled to the interface A computer is coupled to the bus, and process the data according to an algorithm, to produce the report. The array of nodes is coupled to the first network in a daisy chain topology, and each node within a column of nodes receives common data with other nodes within the column. A second network is coupled to the nodes the second network, and receives the anomaly reports from the nodes and sends information to the nodes to coordinate processing of the data.

Daisy chained topology

An inspection system for detecting anomalies on a substrate. A first network is coupled to a sensor array and communicates data. Process nodes are coupled to the first network, and process the data to produce reports. Each process node has an interface card that formats the data for a high speed interface bus that is coupled to the interface card. A computer receives and processes the data to produce the report. A second network receives the reports. A job manager is coupled to the second network, receives the reports, and sends information to the process nodes to coordinate processing of the data.

Programmable image computer

An inspection system for detecting anomalies on a substrate. A first network is coupled to the sensor array and communicates image data. Process nodes are couple to the first network, and process the data to produce reports. Each process node has an interface card that formats the data for a high speed interface bus that is coupled to the interface card. A computer receives and processes the data to produce the report. A second network receives the reports from the process nodes. A job manager is coupled to the second network, and receives the reports from the process nodes and sends information to the process nodes to coordinate the processing of the data in the process nodes.

Full swath analysis

An inspection system for detecting anomalies on a substrate. A first network is coupled to a sensor array and communicates image data. Process nodes are coupled to the first network, and processes the data to produce reports. Each process node has an interface card that formats the data for a high speed interface bus that is coupled to the interface card. A computer receives and processes the data to produce the anomaly report. A second network receives the anomaly reports from the process nodes. A job manager is coupled to the second network, and receives the anomaly reports from the process nodes and sends information to the process nodes to coordinate the processing of the data in the process nodes.

There is disclosed numerous embodiments of a method and apparatus for a particle scanning system and an automatic inspection system. In each of these a particle beam is directed at the surface of a substrate for scanning that substrate. Also included are a selection of detectors to detect at least one of the secondary particles, back-scattered particles and transmitted particles from the substrate. The substrate is mounted on an x-y stage to provide it with at least one degree of freedom while the substrate is being scanned by the/particle beam. The substrate is also subjected to an electric field on it's surface to accelerate the secondary particles. The system also has the capability to accurately measure the position of the substrate with respect to the charged particle beam. Additionally, there is an optical alignment means for initially aligning the substrate beneath the,particle beam means. To function most efficiently there is also a vacuum means for evacuating and repressurizing a chamber containing the substrate. The vacuum means can be used to hold one substrate at vacuum while a second one is being loaded/unloaded, evacuated or repressurized. Alternately, the vacuum means can simultaneously evacuate a plurality of substrates prior to inspection and repressurize of the same plurality of substrates following inspection. In the inspection configuration, there is also a comparison means for comparing the pattern on the substrate with a second pattern.

Electron beam inspection system and method

An automatic microscope focusing system including a light source 44, a dual channel fiber optics bundle 56 and 58, chopper means 54 for alternately admitting light to the channels, a reticle 66 and associated optics to cast alternating images onto the surface of an inspected article W, return masks 82 and 88, and associated detectors 86 and 92 for inspecting the alternating reticle images, and control circuitry 36 and 38 responsive to the detector outputs and operative to drive the system microscope 10 into focus. The preferred embodiment also includes a flipping pupil 60 for accommodating particular microscope objectives.

Automatic focusing system for a microscope

Growing community of inventors

San Jose, CA, United States of America

John S Taylor