| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2a819eda0adf22936a52362eeebb9fb4 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2222-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2240-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-048
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2240-56
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2001-0447
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2210-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2210-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2210-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H1-0443
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2001-005
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2227-03
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2001-266
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2222-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2222-34 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H1-0808
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H1-0443
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H1-0866
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H1-2645
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G03H1-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G03H1-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G03H1-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G03H1-26 |
| filingDate |
2020-04-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5f06786dd0cc3b22187c705cf6ae8cd2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a831e28a9e842449f3f7b70abc5de360
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4d40c92c56afbbe3b57263bdb786758
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e06a915740a960b529b5bb2a3b48a822
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6c89e09b2cf4239a03a13ba3c44512ee |
| publicationDate |
2021-12-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
KR-20210155397-A |
| titleOfInvention |
System and method for deep learning-based color holographic microscopy |
| abstract |
A method of performing color image reconstruction of a single super-resolution holographic sample image includes acquiring a plurality of sub-pixel shifted lower resolution holographic images of a sample using an image sensor with simultaneous illumination in multiple color channels . Super high resolution holographic intensity images for each color channel are digitally generated based on the lower resolution holographic images. The super-resolution holographic intensity images for each color channel are backpropagated to the object plane with image processing software to generate real and virtual input images for each color channel. A trained deep neural network is provided and executed by image processing software using one or more processors of the computing device to receive a real input image and an imaginary input image of a sample for each color channel and generate a color output image of the sample. is composed |
| priorityDate |
2019-04-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |