| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_46570326040ec3afb9917a7e7799019f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-048 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-583
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-3344
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H30-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-082
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G02B21-36
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-583
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-33 |
| filingDate |
2019-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0fcee57934239a51eb74d63efdeff9cf |
| publicationDate |
2020-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2020244775-A1 |
| titleOfInvention |
A system and method for processing biology-related data, a system and method for controlling a microscope and a microscope |
| abstract |
Embodiments relate to a system (100) comprising one or more processors (110) and one or more storage devices (120). The system (100) is configured to receive biology-related language-based search data (101) and generate a first high-dimensional representation of the biology-related language-based search data (101) by a trained language recognition ma- chine-learning algorithm executed by the one or more processors (110). The first high- dimensional representation comprises at least 3 entries each having a different value. Further, the system is configured to obtain a plurality of second high-dimensional representations (105) of a plurality of biology-related image-based input data sets or of a plurality of biology-related language-based input data sets and compare the first high-dimensional representation with each second high-dimensional representation of the plurality of second high-dimensional representations (105). |
| priorityDate |
2019-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |