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Zhao J, Vleck AV, Winetraub Y, Du L, Han Y, Aasi S, Sarin KY, de la Zerda A. Rapid Cellular-Resolution Skin Imaging with Optical Coherence Tomography Using All-Glass Multifocal Metasurfaces. ACS Nano 2023; 17:3442-3451. [PMID: 36745734 PMCID: PMC10619470 DOI: 10.1021/acsnano.2c09542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Cellular-resolution optical coherence tomography (OCT) is a powerful tool offering noninvasive histology-like imaging. However, like other optical microscopy tools, a high numerical aperture (N.A.) lens is required to generate a tight focus, generating a narrow depth of field, which necessitates dynamic focusing and limiting the imaging speed. To overcome this limitation, we developed a metasurface platform that generates multiple axial foci, which multiplies the volumetric OCT imaging speed by offering several focal planes. This platform offers accurate and flexible control over the number, positions, and intensities of axial foci generated. All-glass metasurface optical elements 8 mm in diameter are fabricated from fused-silica wafers and implemented into our scanning OCT system. With a constant lateral resolution of 1.1 μm over all depths, the multifocal OCT triples the volumetric acquisition speed for dermatological imaging, while still clearly revealing features of stratum corneum, epidermal cells, and dermal-epidermal junctions and offering morphological information as diagnostic criteria for basal cell carcinoma. The imaging speed can be further improved in a sparse sample, e.g., 7-fold with a seven-foci beam. In summary, this work demonstrates the concept of metasurface-based multifocal OCT for rapid virtual biopsy, further providing insights for developing rapid volumetric imaging systems with high resolution and compact volume.
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Affiliation(s)
- Jingjing Zhao
- Department of Structural Biology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Aidan Van Vleck
- Department of Structural Biology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Yonatan Winetraub
- Department of Structural Biology, Stanford University School of Medicine, Stanford, California 94305, United States; Biophysics Program at Stanford, Molecular Imaging Program at Stanford, and The Bio-X Program, Stanford University, Stanford, California 94305, United States
| | - Lin Du
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley 94720, United States
| | - Yong Han
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Sumaira Aasi
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Kavita Yang Sarin
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Adam de la Zerda
- Department of Structural Biology, Stanford University School of Medicine, Stanford, California 94305, United States; Biophysics Program at Stanford, Molecular Imaging Program at Stanford, and The Bio-X Program, Stanford University, Stanford, California 94305, United States; The Chan Zuckerberg Biohub, San Francisco, California 94158, United States
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Trinh P, Li S, Sarin KY. Neurofibromatosis Type 1 and Risk of Skin Cancer. JAMA Dermatol 2022; 158:1214-1216. [PMID: 36001333 PMCID: PMC9403846 DOI: 10.1001/jamadermatol.2022.3083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/08/2022] [Indexed: 11/14/2022]
Abstract
This cohort study examines the odds of developing basal cell carcinoma, squamous cell carcinoma, or melanoma among insured adults with neurofibromatosis type 1.
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Affiliation(s)
- Pavin Trinh
- Department of Dermatology, Stanford University School of Medicine, Stanford, California
| | - Shufeng Li
- Department of Dermatology, Stanford University School of Medicine, Stanford, California
- Department of Urology, Stanford University School of Medicine, Stanford, California
| | - Kavita Yang Sarin
- Department of Dermatology, Stanford University School of Medicine, Stanford, California
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Chan WH, Srivastava R, Damaraju N, Do H, Burnett G, MacFarlane J, Xie SM, Chen JK, Honari G, Sarin KY. Automated detection of skin reactions in epicutaneous patch testing using machine learning. Br J Dermatol 2021; 185:456-458. [PMID: 33829497 DOI: 10.1111/bjd.20141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Revised: 04/04/2021] [Accepted: 04/06/2021] [Indexed: 11/29/2022]
Affiliation(s)
- W H Chan
- Dermatology, Stanford University School of Medicine, Stanford, CA, USA.,Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - R Srivastava
- Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - N Damaraju
- Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA
| | - H Do
- Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - G Burnett
- Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA
| | - J MacFarlane
- Biomedical Informatics, Stanford University School of Medicine, Stanford, CA, USA
| | - S M Xie
- Computer Science, Stanford University School of Medicine, Stanford, CA, USA
| | - J K Chen
- Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - G Honari
- Dermatology, Stanford University School of Medicine, Stanford, CA, USA
| | - K Y Sarin
- Dermatology, Stanford University School of Medicine, Stanford, CA, USA
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Jia JL, Hua VJ, Mills DE, Sarin KY. Journal attitudes and outcomes of preprints in dermatology. Br J Dermatol 2021; 185:230-232. [PMID: 33742455 DOI: 10.1111/bjd.20065] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/01/2021] [Accepted: 03/12/2021] [Indexed: 12/01/2022]
Affiliation(s)
- J L Jia
- Stanford University School of Medicine, Stanford, CA, USA
| | - V J Hua
- Stanford University School of Medicine, Stanford, CA, USA
| | - D E Mills
- Stanford University School of Medicine, Stanford, CA, USA
| | - K Y Sarin
- Stanford University School of Medicine, Stanford, CA, USA
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Ransohoff JD, Sarin KY. Referred by Google: mining Google Trends data to identify patterns in and correlates to searches for dermatological concerns and providers. Br J Dermatol 2017; 178:794-795. [PMID: 28338220 DOI: 10.1111/bjd.15491] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- J D Ransohoff
- Department of Dermatology, Stanford University School of Medicine, Redwood City, CA, 94063, U.S.A
| | - K Y Sarin
- Department of Dermatology, Stanford University School of Medicine, Redwood City, CA, 94063, U.S.A
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