http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110736701-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f4c729740f8c79296eeceac321b4ca90 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G02B21-002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-6458 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G02B21-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-6428 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-01 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-01 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-64 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G02B21-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G02B21-24 |
| filingDate | 2019-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2785f6a3b8e8667c06227d3de9cde0ee http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_95e20fd4f5b623ed757686e2191b1906 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aa0125d077bb497905e1fc2fe48b9055 |
| publicationDate | 2020-01-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110736701-A |
| titleOfInvention | A system and method for full-surface three-dimensional microscopic imaging of a sample |
| abstract | The invention provides a full-surface three-dimensional microscopic imaging system and method of a sample, and relates to the technical field of medical sample detection instruments. The system uses the sample morphology measurement module to map the surface morphology of the sample to be measured, establishes a three-dimensional model, meshes the three-dimensional model, obtains the center coordinates and normal vector of each grid element, and generates mechanical scanning commands. The mechanical scanning module moves the microscopic imaging module in a fixed point and normal direction, so that it can perform microscopic imaging on the surface of the sample with different heights in each grid unit. The 3D image reconstruction algorithm generates a microscopic image of the entire surface of the sample by connecting sharp images in all focal planes. The image evaluation and feedback system utilizes machine learning to evaluate high-risk or specific areas of the sample surface, allowing higher-precision microscopic imaging of local areas at the user's discretion. The sample adsorption module includes an adsorption mechanism and a rotating mechanism to realize the fixation and inversion of the sample to be tested. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-I747500-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112893186-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113192070-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022021919-A1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111735768-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116297604-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111735768-A |
| priorityDate | 2019-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 30.