Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy
In this perspective, the authors present the basic features of lens-free computational imaging tools and report performance comparisons with conventional microscopy methods. They also discuss the challenges that these computational on-chip microscopes face for their wide-scale biomedical application...
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| Veröffentlicht in: | Nature methods 2012-09, Vol.9 (9), p.889-895 |
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| container_end_page | 895 |
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| container_issue | 9 |
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| container_title | Nature methods |
| container_volume | 9 |
| creator | Greenbaum, Alon Luo, Wei Su, Ting-Wei Göröcs, Zoltán Xue, Liang Isikman, Serhan O Coskun, Ahmet F Mudanyali, Onur Ozcan, Aydogan |
| description | In this perspective, the authors present the basic features of lens-free computational imaging tools and report performance comparisons with conventional microscopy methods. They also discuss the challenges that these computational on-chip microscopes face for their wide-scale biomedical application.
We discuss unique features of lens-free computational imaging tools and report some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture (NA) of ∼0.8–0.9 across a field of view (FOV) of more than 20 mm
2
or an NA of ∼0.1 across a FOV of ∼18 cm
2
, which corresponds to an image with more than 1.5 gigapixels. We also discuss the current challenges that these computational on-chip microscopes face, shedding light on their future directions and applications. |
| doi_str_mv | 10.1038/nmeth.2114 |
| format | Article |
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We discuss unique features of lens-free computational imaging tools and report some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture (NA) of ∼0.8–0.9 across a field of view (FOV) of more than 20 mm
2
or an NA of ∼0.1 across a FOV of ∼18 cm
2
, which corresponds to an image with more than 1.5 gigapixels. We also discuss the current challenges that these computational on-chip microscopes face, shedding light on their future directions and applications.</description><identifier>ISSN: 1548-7091</identifier><identifier>EISSN: 1548-7105</identifier><identifier>DOI: 10.1038/nmeth.2114</identifier><identifier>PMID: 22936170</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/114 ; 631/1647/245 ; 631/1647/328 ; Algorithms ; Bioinformatics ; Biological Microscopy ; Biological Techniques ; Biomedical and Life Sciences ; Biomedical Engineering/Biotechnology ; Computers ; Erythrocytes - cytology ; Humans ; Image Processing, Computer-Assisted - instrumentation ; Image Processing, Computer-Assisted - methods ; Lenses ; Life Sciences ; Male ; Medical imaging ; Methods ; Microscope and microscopy ; Microscopy ; Microscopy - instrumentation ; Microscopy - methods ; Optoelectronic devices ; perspective ; Proteomics ; Spermatozoa - cytology</subject><ispartof>Nature methods, 2012-09, Vol.9 (9), p.889-895</ispartof><rights>Springer Nature America, Inc. 2012</rights><rights>COPYRIGHT 2012 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Sep 2012</rights><rights>2012 Nature America, Inc. All rights reserved. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c509t-592f88f040ecc784513f80af5df2110837984c50605c8367035527e8e0a412533</citedby><cites>FETCH-LOGICAL-c509t-592f88f040ecc784513f80af5df2110837984c50605c8367035527e8e0a412533</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27929,27930</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22936170$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Greenbaum, Alon</creatorcontrib><creatorcontrib>Luo, Wei</creatorcontrib><creatorcontrib>Su, Ting-Wei</creatorcontrib><creatorcontrib>Göröcs, Zoltán</creatorcontrib><creatorcontrib>Xue, Liang</creatorcontrib><creatorcontrib>Isikman, Serhan O</creatorcontrib><creatorcontrib>Coskun, Ahmet F</creatorcontrib><creatorcontrib>Mudanyali, Onur</creatorcontrib><creatorcontrib>Ozcan, Aydogan</creatorcontrib><title>Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy</title><title>Nature methods</title><addtitle>Nat Methods</addtitle><addtitle>Nat Methods</addtitle><description>In this perspective, the authors present the basic features of lens-free computational imaging tools and report performance comparisons with conventional microscopy methods. They also discuss the challenges that these computational on-chip microscopes face for their wide-scale biomedical application.
We discuss unique features of lens-free computational imaging tools and report some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture (NA) of ∼0.8–0.9 across a field of view (FOV) of more than 20 mm
2
or an NA of ∼0.1 across a FOV of ∼18 cm
2
, which corresponds to an image with more than 1.5 gigapixels. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature methods</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Greenbaum, Alon</au><au>Luo, Wei</au><au>Su, Ting-Wei</au><au>Göröcs, Zoltán</au><au>Xue, Liang</au><au>Isikman, Serhan O</au><au>Coskun, Ahmet F</au><au>Mudanyali, Onur</au><au>Ozcan, Aydogan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy</atitle><jtitle>Nature methods</jtitle><stitle>Nat Methods</stitle><addtitle>Nat Methods</addtitle><date>2012-09-01</date><risdate>2012</risdate><volume>9</volume><issue>9</issue><spage>889</spage><epage>895</epage><pages>889-895</pages><issn>1548-7091</issn><eissn>1548-7105</eissn><abstract>In this perspective, the authors present the basic features of lens-free computational imaging tools and report performance comparisons with conventional microscopy methods. They also discuss the challenges that these computational on-chip microscopes face for their wide-scale biomedical application.
We discuss unique features of lens-free computational imaging tools and report some of their emerging results for wide-field on-chip microscopy, such as the achievement of a numerical aperture (NA) of ∼0.8–0.9 across a field of view (FOV) of more than 20 mm
2
or an NA of ∼0.1 across a FOV of ∼18 cm
2
, which corresponds to an image with more than 1.5 gigapixels. We also discuss the current challenges that these computational on-chip microscopes face, shedding light on their future directions and applications.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>22936170</pmid><doi>10.1038/nmeth.2114</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1548-7091 |
| ispartof | Nature methods, 2012-09, Vol.9 (9), p.889-895 |
| issn | 1548-7091 1548-7105 |
| language | eng |
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| subjects | 631/114 631/1647/245 631/1647/328 Algorithms Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Computers Erythrocytes - cytology Humans Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods Lenses Life Sciences Male Medical imaging Methods Microscope and microscopy Microscopy Microscopy - instrumentation Microscopy - methods Optoelectronic devices perspective Proteomics Spermatozoa - cytology |
| title | Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy |
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