Free-form fabricaton using multi-photon excitation


Ontology type: sgo:Patent     


Patent Info

DATE

2001-11-13T00:00

AUTHORS

Steven L. Goodman , Paul Campagnola

ABSTRACT

A method wherein small, two- or three- dimensional structures are formed by multiple-photon-absorbed photopolymerization and/or cross-linking of a precursor composition. Use of multi-photon excitation allows fabrication of structures and structural features having at least one dimension of less than about one micron, preferably less than about 500 nm, more preferably less than about 250 nm, and most preferably of less than about 100 nm, in bulk phase as well as in solution, and from a wide variety of organic and inorganic precursor subunits, including synthetic polymers and biological polymers such as proteins, lipids, oligonucleotides, and the like. In one embodiment, use of two-photon far field optics allows the formation of structures having X-Y dimensions of less than about 300 mn and a Z dimension of less than about 500 nm, while use of three-photon far field optics allows the formation of structures having X-Y dimensions of less than about 250 mn and a Z dimension of less than about 300 nm. In a particularly preferred embodiment, use of a 4 pi optical configuration in combination with two-photon far field excitation allows the formation of structures having X-Y dimensions of less than about 150 nm and a Z dimension of less than about 100 mn. In another embodiment, use of multi-photon near field optics results in the formation of structures having X, Y, and Z dimensions of less than about 50 nm. In this embodiment, near field fabrication is achieved by two-photon excitation through fiber probes. More... »

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2447", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Steven L. Goodman", 
        "type": "Person"
      }, 
      {
        "name": "Paul Campagnola", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0030-4018(92)90185-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015054126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0030-4018(92)90185-t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015054126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/17989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025228833", 
          "https://doi.org/10.1038/17989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/17989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025228833", 
          "https://doi.org/10.1038/17989"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.247.4938.59", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062538941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.22.000132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065217176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.23.000756", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065217982"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.23.001111", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065218094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.23.001238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065218136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/ol.23.001745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065218290"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2001-11-13T00:00", 
    "description": "

A method wherein small, two- or three- dimensional structures are formed by multiple-photon-absorbed photopolymerization and/or cross-linking of a precursor composition. Use of multi-photon excitation allows fabrication of structures and structural features having at least one dimension of less than about one micron, preferably less than about 500 nm, more preferably less than about 250 nm, and most preferably of less than about 100 nm, in bulk phase as well as in solution, and from a wide variety of organic and inorganic precursor subunits, including synthetic polymers and biological polymers such as proteins, lipids, oligonucleotides, and the like. In one embodiment, use of two-photon far field optics allows the formation of structures having X-Y dimensions of less than about 300 mn and a Z dimension of less than about 500 nm, while use of three-photon far field optics allows the formation of structures having X-Y dimensions of less than about 250 mn and a Z dimension of less than about 300 nm. In a particularly preferred embodiment, use of a 4 pi optical configuration in combination with two-photon far field excitation allows the formation of structures having X-Y dimensions of less than about 150 nm and a Z dimension of less than about 100 mn. In another embodiment, use of multi-photon near field optics results in the formation of structures having X, Y, and Z dimensions of less than about 50 nm. In this embodiment, near field fabrication is achieved by two-photon excitation through fiber probes.

", "id": "sg:patent.US-6316153-B1", "keywords": [ "free form", "photon excitation", "wherein", "dimensional structure", "photopolymerization", "cross-linking", "composition", "fabrication", "structural feature", "dimension", "micron", "nm", "bulk phase", "solution", "wide variety", "precursor", "synthetic polymer", "biological polymer", "protein", "lipid", "oligonucleotides", "embodiment", "two-photon", "optic", "Mn", "photon", "configuration", "excitation", "multi-photon", "two-photon excitation", "fiber" ], "name": "Free-form fabricaton using multi-photon excitation", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.63054.34", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-6316153-B1" ], "sdDataset": "patents", "sdDatePublished": "2019-04-18T10:27", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com-uberresearch-data-patents-target-20190320-rc/data/sn-export/402f166718b70575fb5d4ffe01f064d1/0000100128-0000352499/json_export_03098.jsonl", "type": "Patent" } ]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/patent.US-6316153-B1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-6316153-B1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-6316153-B1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-6316153-B1'


 

This table displays all metadata directly associated to this object as RDF triples.

82 TRIPLES      15 PREDICATES      53 URIs      39 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-6316153-B1 schema:about anzsrc-for:2447
2 schema:author N94274421f604425c8b5bef21b77625fe
3 schema:citation sg:pub.10.1038/17989
4 https://doi.org/10.1016/0030-4018(92)90185-t
5 https://doi.org/10.1126/science.247.4938.59
6 https://doi.org/10.1364/ol.22.000132
7 https://doi.org/10.1364/ol.23.000756
8 https://doi.org/10.1364/ol.23.001111
9 https://doi.org/10.1364/ol.23.001238
10 https://doi.org/10.1364/ol.23.001745
11 schema:datePublished 2001-11-13T00:00
12 schema:description <p>A method wherein small, two- or three- dimensional structures are formed by multiple-photon-absorbed photopolymerization and/or cross-linking of a precursor composition. Use of multi-photon excitation allows fabrication of structures and structural features having at least one dimension of less than about one micron, preferably less than about 500 nm, more preferably less than about 250 nm, and most preferably of less than about 100 nm, in bulk phase as well as in solution, and from a wide variety of organic and inorganic precursor subunits, including synthetic polymers and biological polymers such as proteins, lipids, oligonucleotides, and the like. In one embodiment, use of two-photon far field optics allows the formation of structures having X-Y dimensions of less than about 300 mn and a Z dimension of less than about 500 nm, while use of three-photon far field optics allows the formation of structures having X-Y dimensions of less than about 250 mn and a Z dimension of less than about 300 nm. In a particularly preferred embodiment, use of a 4 pi optical configuration in combination with two-photon far field excitation allows the formation of structures having X-Y dimensions of less than about 150 nm and a Z dimension of less than about 100 mn. In another embodiment, use of multi-photon near field optics results in the formation of structures having X, Y, and Z dimensions of less than about 50 nm. In this embodiment, near field fabrication is achieved by two-photon excitation through fiber probes.</p>
13 schema:keywords Mn
14 biological polymer
15 bulk phase
16 composition
17 configuration
18 cross-linking
19 dimension
20 dimensional structure
21 embodiment
22 excitation
23 fabrication
24 fiber
25 free form
26 lipid
27 micron
28 multi-photon
29 nm
30 oligonucleotides
31 optic
32 photon
33 photon excitation
34 photopolymerization
35 precursor
36 protein
37 solution
38 structural feature
39 synthetic polymer
40 two-photon
41 two-photon excitation
42 wherein
43 wide variety
44 schema:name Free-form fabricaton using multi-photon excitation
45 schema:recipient https://www.grid.ac/institutes/grid.63054.34
46 schema:sameAs https://app.dimensions.ai/details/patent/US-6316153-B1
47 schema:sdDatePublished 2019-04-18T10:27
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N0bb46bc4116047bcac1a5ff2ebda6c9a
50 sgo:license sg:explorer/license/
51 sgo:sdDataset patents
52 rdf:type sgo:Patent
53 N02bce3a4745a49598adb813020d07872 schema:name Steven L. Goodman
54 rdf:type schema:Person
55 N0bb46bc4116047bcac1a5ff2ebda6c9a schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 N27312d95383a427ab507f5a97979122e schema:name Paul Campagnola
58 rdf:type schema:Person
59 N8c2a39a944164a1f90ec4a4560204188 rdf:first N27312d95383a427ab507f5a97979122e
60 rdf:rest rdf:nil
61 N94274421f604425c8b5bef21b77625fe rdf:first N02bce3a4745a49598adb813020d07872
62 rdf:rest N8c2a39a944164a1f90ec4a4560204188
63 anzsrc-for:2447 schema:inDefinedTermSet anzsrc-for:
64 rdf:type schema:DefinedTerm
65 sg:pub.10.1038/17989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025228833
66 https://doi.org/10.1038/17989
67 rdf:type schema:CreativeWork
68 https://doi.org/10.1016/0030-4018(92)90185-t schema:sameAs https://app.dimensions.ai/details/publication/pub.1015054126
69 rdf:type schema:CreativeWork
70 https://doi.org/10.1126/science.247.4938.59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062538941
71 rdf:type schema:CreativeWork
72 https://doi.org/10.1364/ol.22.000132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065217176
73 rdf:type schema:CreativeWork
74 https://doi.org/10.1364/ol.23.000756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065217982
75 rdf:type schema:CreativeWork
76 https://doi.org/10.1364/ol.23.001111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065218094
77 rdf:type schema:CreativeWork
78 https://doi.org/10.1364/ol.23.001238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065218136
79 rdf:type schema:CreativeWork
80 https://doi.org/10.1364/ol.23.001745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065218290
81 rdf:type schema:CreativeWork
82 https://www.grid.ac/institutes/grid.63054.34 schema:Organization
 




Preview window. Press ESC to close (or click here)


...