1. A prismatic element for use in a microscope adapted to perform depth-resolved optical detection of a specimen with an illumination light distribution of at least one wavelength generated on or in a specimen and detection light that is influenced due to interaction with the specimen, the prismatic element comprising:
at least one region which is plane-parallel; and
a second prismatic region which carries out an angular deflection between the illumination light and detection light and which is arranged in a pupil plane of the microscope.
2. The prismatic element according to claim 1, wherein a spatial separation of the detection light from an excitation light is carried out in an intermediate image plane.
3. The prismatic element according to claim 1, wherein a spatial separation of the spectral components of the specimen signal is carried out by the prismatic surface of the element and these spectral components are measured by a detector array.
4. The prismatic element according to claim 1, wherein a spatial separation of the spectral components of an excitation light is carried out through the prismatic surface of the element and the spectral components are combined to form a common beam in the specimen.
5. The prismatic element according to claim 1, wherein the prismatic element has a plane-parallel plate in the center and is formed prismatically outside the plate.
6. The prismatic element according to claim 1, wherein a plane-parallel plate has an elongated shape and there is a wedge-shaped reduction in the prismatic arrangement in longitudinal direction of the plate.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A method for improving distribution of resources for a reasoning system including a plurality of data sources that each generate raw data that is to be processed by shallow reasoners before being provided to other components of the reasoning system to generate high-level inferred conclusions, the method comprising the steps of:
discovering available data sources from the plurality of data sources by discovery of protocol modules executed by devices associated with each data source;
collecting capability information from each protocol module for each associated device;
sending the capability information to a predictor server;
requesting a resource allocation plan from the predictor server; and
receiving the resource allocations plan from the predictor server, the resource allocation plan identifying devices associated with the plurality of data sources for executing shallow reasoners, the devices selected based on a usage model and the capability information.
2. The method of claim 1, further comprising the step of sending collected capability information to a capability database for storage.
3. The method of claim 1, further comprising the step of retrieving the capability information from the capability database to forward to the predictor server.
4. The method of claim 1, further comprising the step of sending an instantiating message to devices identified in the resource allocation plan to create shallow reasoners.
5. The method of claim 1, further comprising the step of sending a tear down message to a device identified in the resource allocation plan to tear down a shallow reasoner.
6. The method of claim 1, wherein the resource allocation plan is updated in response to changes in the capability information.
7. The method of claim 1, wherein the capability information is collected in real-time to dynamically update the resource allocation plan.
8. A computer system for improving distribution of resources for a reasoning system including a plurality of data sources that each generate raw data that is to be processed by shallow reasoners before being provided to other components of the reasoning system to generate high-level inferred conclusions, the computer system comprising:
a processing device executing a discovery module, protocol management module, and a resource allocations management module,
the discovery module to discover available data sources from the plurality of data sources by discovery of protocol modules executed by devices associated with each data source,
the protocol management module to collect capability information from each protocol module for each associated device, and
the resource allocation management module to send the capability information to a predictor server and to obtain a resource allocation plan from the predictor server that identifies devices associated with the plurality of data sources for executing shallow reasoners, the devices selected based on a usage model and the capability information.
9. The computer system of claim 8, wherein the resource allocation management module requests the resource allocation plan from the predictor server.
10. The computer system of claim 8, wherein the resource allocation management module sends collected capability information to a capability database for storage.
11. The computer system of claim 8, wherein the resource allocation management module retrieves the capability information from the capability database to forward to the predictor server.
12. The computer system of claim 8, wherein the protocol management module sends an instantiating message to devices identified in the resource allocation plan to create shallow reasoners.
13. The computer system of claim 8, wherein the protocol module sends a tear down message to a device identified in the resource allocation plan to tear down a shallow reasoner.
14. The computer system of claim 8, wherein the resource allocation plan is updated in response to changes in the capability information.
15. The computer system of claim 8, wherein the compatibility information is collected in real-time to dynamically update the resource allocation plan.