Showing papers by "Gerd Binnig published in 2006"

Object-oriented image analysis for high content screening: Detailed quantification of cells and sub cellular structures with the Cellenger software

Abstract: Background: Detailed image analysis still is a considerable bottleneck for many cellular assays, and automated solutions to the problem are desirable. However, dealing with the complexity and variability of structures in cellular images makes detailed and reliable analysis a nontrivial task. Methods: Therefore, based on the object-oriented image analysis approach, a novel image analysis technology, a flexible and reliable system for image analysis in cellular assays was developed. It contains a library of predefined, adaptable modules, each of them developed for a specific analysis task. The system can be configured easily by combining appropriate modules and adapting them interactively to the specific image data, if necessary. By representing cells and sub cellular structures within a network of interlinked image objects, a large number of parameters can be derived that describe shape, intensity, and relevant structural and relational aspects of any chosen class of structures. Results: Thus, multi-parameter analysis and multiplexing are supported. A sample application based on this approach demonstrates that GFP signals can be distinguished based on their properties and the relative location within the cell. © 2006 International Society for Analytical Cytology

Generating applications that analyze image data using a semantic cognition network

Abstract: A method is disclosed for generating an application that analyzes image data, such as from satellite and microscope pictures. The method uses a graphical user interface to add a new processing object to a processing object network. The processing object network includes a parent processing object and a child processing object. A user can append a new processing object to the child processing object or can add the new processing object as a subprocess to the parent processing object. The user selects a data domain and an algorithm from selection lists on the graphical user interface and adds them to the new processing object. The application uses a semantic cognition network to process data objects that are generated by segmenting the image data. The application then uses the new processing object to identify portions of the image that are to be highlighted on the graphical user interface.

Data storage device

Abstract: A storage device including a storage medium for storing data in the form of topographic or magnetic marks. At least one probe is mounted on a common frame, the common frame and the storage medium designed for moving relative to each other for creating or detecting said marks. Each probe includes a tip facing the storage medium, a read sensing element, a write element and a capacitive platform, that forms a first electrode and is designed for a voltage potential applied to it independent from a control signal for said read sensing element and for said voltage potential applied to said capacitive platform being independent from a control signal for said write heating element. It further comprises a second electrode arranged in a fixed position relative to the storage medium forming a first capacitor together wherein said first electrode and a medium between the first and second electrode.

Method for analysis of a sample

Abstract: A method and apparatus for analysis of a sample The method includes an accessing operation for accessing a region of the sample via a tip of at least one probe mounted on a cantilever A removing operation removes a sample material from the region that is accessed by the tip of the at least one probe mounted on the cantilever A sensing operation senses a parameter associated to the removal of the sample material in the removing operation The accessing, removing, and sensing operations are repeated to facilitate removal of at least one layer of the sample

Method for analysis through layer-by-layer sample removal using a cantilever probe

Abstract: A method and apparatus for analysis of a sample. The method includes an accessing operation for accessing a region of the sample via a tip of at least one probe mounted on a cantilever. A removing operation removes a sample material from the region that is accessed by the tip of the at least one probe mounted on the cantilever. A sensing operation senses a parameter associated to the removal of the sample material in the removing operation. The accessing, removing, and sensing operations are repeated to facilitate removal of at least one layer of the sample.