Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2a819eda0adf22936a52362eeebb9fb4 |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2210-12 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-048 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2001-266 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2222-34 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2240-62 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/G03H1-0443 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2222-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2222-18 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/G03H2227-03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H2001-005 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G03H1-2645 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/G03H1-0808 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G03H1-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G03H1-08 |
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_6c89e09b2cf4239a03a13ba3c44512ee http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4d40c92c56afbbe3b57263bdb786758 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e06a915740a960b529b5bb2a3b48a822 |
publicationDate |
2021-11-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
AU-2020262090-A1 |
titleOfInvention |
System and method for deep learning-based color holographic microscopy |
abstract |
A method for performing color image reconstruction of a single super-resolved holographic sample image includes obtaining a plurality of sub-pixel shifted lower resolution hologram images of the sample using an image sensor by simultaneous illumination at multiple color channels. Super-resolved hologram intensity images for each color channel are digitally generated based on the lower resolution hologram images. The super-resolved hologram intensity images for each color channel are back propagated to an object plane with image processing software to generate a real and imaginary input images of the sample for each color channel. A trained deep neural network is provided and is executed by image processing software using one or more processors of a computing device and configured to receive the real input image and the imaginary input image of the sample for each color channel and generate a color output image of the sample. |
priorityDate |
2019-04-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |