Carl Zeiss Microscopy Gmbh

Carl Zeiss X-ray Microscopy, Inc.

Carl Zeiss Ag

Sreenivas Naga Bhattiprolu

Lorenz Lechner

Edward Hill

Tom Waite

Bernhard Fichtl

Stefan Schneider

Norbert Riedelsheimer

Christian Schultheiss

Daniel Butnaru

Benjamin Mosig

A method for executing and translating a computer program in a computer network, in particular for controlling a microscope, wherein in the case of at least one function call to the relevant second function, multiple return values from multiple preceding function calls are transferred as separate parameters. This allows significantly more complex and flexible function calls. More flexibility in the execution of container-based functions of a computer program in a computer network can additionally be achieved in that the computer program has not only function calls but also instructions for controlling the program flow, for example instructions for the conditional execution of program sections and jump instructions. The development of container-based computer programs can be simplified and speeded up by providing a database that contains the execution requirements of the function modules and also the interface definitions thereof. This permits a static typing of variables.

Method for executing a computer program in a computer network, in particular in order to control a microscope

A multimodality imaging system and method for mineralogy segmentation is disclosed. Image datasets of the sample are generated for one or more modalities, including x-ray and focused ion beam scanning electron microscope (FIB-SEM) modalities. Mineral maps are then created using Energy Dispersive X-ray spectroscopy (EDX) from at least part of the sample covered by the image datasets. The EDX mineral maps are applied as a mask to the image datasets to identify and label regions of minerals within the sample. Feature vectors are then extracted from the labeled regions via feature generators such as Gabor filters. Finally, machine learning training and classification algorithms such as Random Forest are applied to the extracted feature vectors to construct a segmented image representation of the sample that classifies the minerals within the sample.

Multimodality mineralogy segmentation system and method

The system described herein analyzes an object using a charged particle beam device, such as an electron beam device and/or an ion beam device. The charged particle beam device is used to generate high resolution 3D data sets by sequentially removing material from the object, exposing surfaces of the object and generating images of the surfaces. When removing material from the object, an opening having sides is generated. Lamellas are generated using the sides and material characteristics of those lamellas are identified. Moreover, filtered data is generated for each pixel of images of the sides of the opening. The method uses the information with respect to the identified material characteristics, the images of the sides and the filtered data of those images to obtain information on the material characteristics for each pixel of each surface generated when sequentially removing material from the object.

Method for analyzing an object and a charged particle beam device for carrying out this method

The system described herein relates to analyzing an object using a charged particle beam device generating a beam of charged particles and to the charged particle beam device for analyzing the object. A part of an image of the object corresponding to a volume unit surface of a volume unit is segmented into an area having a first color level and a second color level as well corresponding area fractions are determined. A plurality of particles with color levels are identified by comparing the color levels with the information stored in a database. By comparing the color levels, it is possible to identify the potential particles, for example minerals, which may be included in the volume unit.

Method for analyzing an object and charged particle beam device for carrying out the method

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Dublin, CA, United States of America

Sreenivas Naga Bhattiprolu