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Xu N, Xiao M, Yu Z, Jin B, Yang M, Yi C. On-site quantitation of xanthine in fish and serum using a smartphone-based spectrophotometer integrated with a dual-readout nanosensing assay. Food Chem 2024; 431:137107. [PMID: 37562333 DOI: 10.1016/j.foodchem.2023.137107] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/12/2023]
Abstract
Rapid and quantitative biochemical analysis at points-of-need is imperative for food safety inspection. This work reports on: 1) a stand-alone smartphone-based "two-in-one" spectrophotometer (the SAFS) installed with a self-developed application (the SAFS-App) which can precisely collect both absorption spectra and fluorescence spectra in a reproducible manner within 5 s; and 2) a straightforward protocol for xanthine detection using fluorescent carbon nanodots and silver nanoparticles. The assay performed with the SAFS demonstrates high specificity towards xanthine, and a linear range of 1-60 μM with LODs of 0.38 and 0.58 μM for colorimetric and fluorometric readouts, respectively. The reliability and robustness of the SAFS are validated by on-site quantitation of xanthine in fish and serum samples, with comparable accuracy to HPLC method. More importantly, the SAFS presents itself as an appealing device which is accessible to everyone through the Internet of Things and can be tailored for diverse point-of-care testing applications.
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Affiliation(s)
- Ningxia Xu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China; Department of Medical Equipment, Hospital of Jiangxi University of Traditional Chinese Medicine (Jiangxi Provincial Hospital of Traditional Chinese Medicine), Nanchang, Jiangxi 330000, China
| | - Meng Xiao
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China; Department of Clinical Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong 510000, China
| | - Zipei Yu
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China
| | - Baohui Jin
- Food Inspection and Quarantine Center, Shenzhen Customs, Shenzhen 518033, China
| | - Mengsu Yang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Changqing Yi
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instruments, Sun Yat-Sen University, Guangzhou 510275, China; Research Institute of Sun Yat-Sen University in Shenzhen, Shenzhen 518057, China.
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2
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Astratov VN, Sahel YB, Eldar YC, Huang L, Ozcan A, Zheludev N, Zhao J, Burns Z, Liu Z, Narimanov E, Goswami N, Popescu G, Pfitzner E, Kukura P, Hsiao YT, Hsieh CL, Abbey B, Diaspro A, LeGratiet A, Bianchini P, Shaked NT, Simon B, Verrier N, Debailleul M, Haeberlé O, Wang S, Liu M, Bai Y, Cheng JX, Kariman BS, Fujita K, Sinvani M, Zalevsky Z, Li X, Huang GJ, Chu SW, Tzang O, Hershkovitz D, Cheshnovsky O, Huttunen MJ, Stanciu SG, Smolyaninova VN, Smolyaninov II, Leonhardt U, Sahebdivan S, Wang Z, Luk’yanchuk B, Wu L, Maslov AV, Jin B, Simovski CR, Perrin S, Montgomery P, Lecler S. Roadmap on Label-Free Super-Resolution Imaging. LASER & PHOTONICS REVIEWS 2023; 17:2200029. [PMID: 38883699 PMCID: PMC11178318 DOI: 10.1002/lpor.202200029] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Indexed: 06/18/2024]
Abstract
Label-free super-resolution (LFSR) imaging relies on light-scattering processes in nanoscale objects without a need for fluorescent (FL) staining required in super-resolved FL microscopy. The objectives of this Roadmap are to present a comprehensive vision of the developments, the state-of-the-art in this field, and to discuss the resolution boundaries and hurdles which need to be overcome to break the classical diffraction limit of the LFSR imaging. The scope of this Roadmap spans from the advanced interference detection techniques, where the diffraction-limited lateral resolution is combined with unsurpassed axial and temporal resolution, to techniques with true lateral super-resolution capability which are based on understanding resolution as an information science problem, on using novel structured illumination, near-field scanning, and nonlinear optics approaches, and on designing superlenses based on nanoplasmonics, metamaterials, transformation optics, and microsphere-assisted approaches. To this end, this Roadmap brings under the same umbrella researchers from the physics and biomedical optics communities in which such studies have often been developing separately. The ultimate intent of this paper is to create a vision for the current and future developments of LFSR imaging based on its physical mechanisms and to create a great opening for the series of articles in this field.
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Affiliation(s)
- Vasily N. Astratov
- Department of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, North Carolina 28223-0001, USA
| | - Yair Ben Sahel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Yonina C. Eldar
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Luzhe Huang
- Electrical and Computer Engineering Department, University of California, Los Angeles, California 90095, USA
- Bioengineering Department, University of California, Los Angeles, California 90095, USA
- California Nano Systems Institute (CNSI), University of California, Los Angeles, California 90095, USA
| | - Aydogan Ozcan
- Electrical and Computer Engineering Department, University of California, Los Angeles, California 90095, USA
- Bioengineering Department, University of California, Los Angeles, California 90095, USA
- California Nano Systems Institute (CNSI), University of California, Los Angeles, California 90095, USA
- David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA
| | - Nikolay Zheludev
- Optoelectronics Research Centre, University of Southampton, Southampton, SO17 1BJ, UK
- Centre for Disruptive Photonic Technologies, The Photonics Institute, School of Physical and Mathematical Sciences, Nanyang Technological University, 637371, Singapore
| | - Junxiang Zhao
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zachary Burns
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zhaowei Liu
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
- Material Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Evgenii Narimanov
- School of Electrical Engineering, and Birck Nanotechnology Center, Purdue University, West Lafayette, Indiana 47907, USA
| | - Neha Goswami
- Quantitative Light Imaging Laboratory, Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois 61801, USA
| | - Gabriel Popescu
- Quantitative Light Imaging Laboratory, Beckman Institute of Advanced Science and Technology, University of Illinois at Urbana-Champaign, Illinois 61801, USA
| | - Emanuel Pfitzner
- Department of Chemistry, University of Oxford, Oxford OX1 3QZ, United Kingdom
| | - Philipp Kukura
- Department of Chemistry, University of Oxford, Oxford OX1 3QZ, United Kingdom
| | - Yi-Teng Hsiao
- Institute of Atomic and Molecular Sciences (IAMS), Academia Sinica 1, Roosevelt Rd. Sec. 4, Taipei 10617 Taiwan
| | - Chia-Lung Hsieh
- Institute of Atomic and Molecular Sciences (IAMS), Academia Sinica 1, Roosevelt Rd. Sec. 4, Taipei 10617 Taiwan
| | - Brian Abbey
- Australian Research Council Centre of Excellence for Advanced Molecular Imaging, La Trobe University, Melbourne, Victoria, Australia
- Department of Chemistry and Physics, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Melbourne, Victoria, Australia
| | - Alberto Diaspro
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- DIFILAB, Department of Physics, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy
| | - Aymeric LeGratiet
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- Université de Rennes, CNRS, Institut FOTON - UMR 6082, F-22305 Lannion, France
| | - Paolo Bianchini
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- DIFILAB, Department of Physics, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy
| | - Natan T. Shaked
- Tel Aviv University, Faculty of Engineering, Department of Biomedical Engineering, Tel Aviv 6997801, Israel
| | - Bertrand Simon
- LP2N, Institut d’Optique Graduate School, CNRS UMR 5298, Université de Bordeaux, Talence France
| | - Nicolas Verrier
- IRIMAS UR UHA 7499, Université de Haute-Alsace, Mulhouse, France
| | | | - Olivier Haeberlé
- IRIMAS UR UHA 7499, Université de Haute-Alsace, Mulhouse, France
| | - Sheng Wang
- School of Physics and Technology, Wuhan University, China
- Wuhan Institute of Quantum Technology, China
| | - Mengkun Liu
- Department of Physics and Astronomy, Stony Brook University, USA
- National Synchrotron Light Source II, Brookhaven National Laboratory, USA
| | - Yeran Bai
- Boston University Photonics Center, Boston, MA 02215, USA
| | - Ji-Xin Cheng
- Boston University Photonics Center, Boston, MA 02215, USA
| | - Behjat S. Kariman
- Optical Nanoscopy and NIC@IIT, CHT, Istituto Italiano di Tecnologia, Via Enrico Melen 83B, 16152 Genoa, Italy
- DIFILAB, Department of Physics, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy
| | - Katsumasa Fujita
- Department of Applied Physics and the Advanced Photonics and Biosensing Open Innovation Laboratory (AIST); and the Transdimensional Life Imaging Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Osaka, Japan
| | - Moshe Sinvani
- Faculty of Engineering and the Nano-Technology Center, Bar-Ilan University, Ramat Gan, 52900 Israel
| | - Zeev Zalevsky
- Faculty of Engineering and the Nano-Technology Center, Bar-Ilan University, Ramat Gan, 52900 Israel
| | - Xiangping Li
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Institute of Photonics Technology, Jinan University, Guangzhou 510632, China
| | - Guan-Jie Huang
- Department of Physics and Molecular Imaging Center, National Taiwan University, Taipei 10617, Taiwan
- Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Shi-Wei Chu
- Department of Physics and Molecular Imaging Center, National Taiwan University, Taipei 10617, Taiwan
- Brain Research Center, National Tsing Hua University, Hsinchu 30013, Taiwan
| | - Omer Tzang
- School of Chemistry, The Sackler faculty of Exact Sciences, and the Center for Light matter Interactions, and the Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv 69978, Israel
| | - Dror Hershkovitz
- School of Chemistry, The Sackler faculty of Exact Sciences, and the Center for Light matter Interactions, and the Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv 69978, Israel
| | - Ori Cheshnovsky
- School of Chemistry, The Sackler faculty of Exact Sciences, and the Center for Light matter Interactions, and the Tel Aviv University Center for Nanoscience and Nanotechnology, Tel Aviv 69978, Israel
| | - Mikko J. Huttunen
- Laboratory of Photonics, Physics Unit, Tampere University, FI-33014, Tampere, Finland
| | - Stefan G. Stanciu
- Center for Microscopy – Microanalysis and Information Processing, Politehnica University of Bucharest, 313 Splaiul Independentei, 060042, Bucharest, Romania
| | - Vera N. Smolyaninova
- Department of Physics Astronomy and Geosciences, Towson University, 8000 York Rd., Towson, MD 21252, USA
| | - Igor I. Smolyaninov
- Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA
| | - Ulf Leonhardt
- Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Sahar Sahebdivan
- EMTensor GmbH, TechGate, Donau-City-Strasse 1, 1220 Wien, Austria
| | - Zengbo Wang
- School of Computer Science and Electronic Engineering, Bangor University, Bangor, LL57 1UT, United Kingdom
| | - Boris Luk’yanchuk
- Faculty of Physics, Lomonosov Moscow State University, Moscow 119991, Russia
| | - Limin Wu
- Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China
| | - Alexey V. Maslov
- Department of Radiophysics, University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia
| | - Boya Jin
- Department of Physics and Optical Science, University of North Carolina at Charlotte, Charlotte, North Carolina 28223-0001, USA
| | - Constantin R. Simovski
- Department of Electronics and Nano-Engineering, Aalto University, FI-00076, Espoo, Finland
- Faculty of Physics and Engineering, ITMO University, 199034, St-Petersburg, Russia
| | - Stephane Perrin
- ICube Research Institute, University of Strasbourg - CNRS - INSA de Strasbourg, 300 Bd. Sébastien Brant, 67412 Illkirch, France
| | - Paul Montgomery
- ICube Research Institute, University of Strasbourg - CNRS - INSA de Strasbourg, 300 Bd. Sébastien Brant, 67412 Illkirch, France
| | - Sylvain Lecler
- ICube Research Institute, University of Strasbourg - CNRS - INSA de Strasbourg, 300 Bd. Sébastien Brant, 67412 Illkirch, France
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3
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Xia Q, Guo Z, Zong H, Seitz S, Yurdakul C, Ünlü MS, Wang L, Connor JH, Cheng JX. Single virus fingerprinting by widefield interferometric defocus-enhanced mid-infrared photothermal microscopy. Nat Commun 2023; 14:6655. [PMID: 37863905 PMCID: PMC10589364 DOI: 10.1038/s41467-023-42439-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 10/11/2023] [Indexed: 10/22/2023] Open
Abstract
Clinical identification and fundamental study of viruses rely on the detection of viral proteins or viral nucleic acids. Yet, amplification-based and antigen-based methods are not able to provide precise compositional information of individual virions due to small particle size and low-abundance chemical contents (e.g., ~ 5000 proteins in a vesicular stomatitis virus). Here, we report a widefield interferometric defocus-enhanced mid-infrared photothermal (WIDE-MIP) microscope for high-throughput fingerprinting of single viruses. With the identification of feature absorption peaks, WIDE-MIP reveals the contents of viral proteins and nucleic acids in single DNA vaccinia viruses and RNA vesicular stomatitis viruses. Different nucleic acid signatures of thymine and uracil residue vibrations are obtained to differentiate DNA and RNA viruses. WIDE-MIP imaging further reveals an enriched β sheet components in DNA varicella-zoster virus proteins. Together, these advances open a new avenue for compositional analysis of viral vectors and elucidating protein function in an assembled virion.
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Affiliation(s)
- Qing Xia
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - Zhongyue Guo
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA
| | - Haonan Zong
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - Scott Seitz
- Department of Microbiology and National Infectious Diseases Laboratories, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Celalettin Yurdakul
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - M Selim Ünlü
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - Le Wang
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA
| | - John H Connor
- Department of Microbiology and National Infectious Diseases Laboratories, Boston University School of Medicine, Boston, MA, 02118, USA.
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering, Boston University, Boston, MA, 02215, USA.
- Department of Biomedical Engineering, Boston University, Boston, MA, 02215, USA.
- Photonics Center, Boston University, Boston, MA, 02215, USA.
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4
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Seymour E, Ekiz Kanik F, Diken Gür S, Bakhshpour-Yucel M, Araz A, Lortlar Ünlü N, Ünlü MS. Solid-Phase Optical Sensing Techniques for Sensitive Virus Detection. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23115018. [PMID: 37299745 DOI: 10.3390/s23115018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 06/12/2023]
Abstract
Viral infections can pose a major threat to public health by causing serious illness, leading to pandemics, and burdening healthcare systems. The global spread of such infections causes disruptions to every aspect of life including business, education, and social life. Fast and accurate diagnosis of viral infections has significant implications for saving lives, preventing the spread of the diseases, and minimizing social and economic damages. Polymerase chain reaction (PCR)-based techniques are commonly used to detect viruses in the clinic. However, PCR has several drawbacks, as highlighted during the recent COVID-19 pandemic, such as long processing times and the requirement for sophisticated laboratory instruments. Therefore, there is an urgent need for fast and accurate techniques for virus detection. For this purpose, a variety of biosensor systems are being developed to provide rapid, sensitive, and high-throughput viral diagnostic platforms, enabling quick diagnosis and efficient control of the virus's spread. Optical devices, in particular, are of great interest due to their advantages such as high sensitivity and direct readout. The current review discusses solid-phase optical sensing techniques for virus detection, including fluorescence-based sensors, surface plasmon resonance (SPR), surface-enhanced Raman scattering (SERS), optical resonators, and interferometry-based platforms. Then, we focus on an interferometric biosensor developed by our group, the single-particle interferometric reflectance imaging sensor (SP-IRIS), which has the capability to visualize single nanoparticles, to demonstrate its application for digital virus detection.
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Affiliation(s)
- Elif Seymour
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M4P 1R2, Canada
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - Fulya Ekiz Kanik
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
| | - Sinem Diken Gür
- Department of Biology, Hacettepe University, Ankara 06800, Türkiye
| | - Monireh Bakhshpour-Yucel
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
- Department of Chemistry, Bursa Uludag University, Bursa 16059, Türkiye
| | - Ali Araz
- Department of Chemistry, Dokuz Eylül University, Izmir 35390, Türkiye
| | - Nese Lortlar Ünlü
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
| | - M Selim Ünlü
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA
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5
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Hyperbolic material enhanced scattering nanoscopy for label-free super-resolution imaging. Nat Commun 2022; 13:6631. [PMID: 36333375 PMCID: PMC9636421 DOI: 10.1038/s41467-022-34553-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
Fluorescence super-resolution microscopy has, over the last two decades, been extensively developed to access deep-subwavelength nanoscales optically. Label-free super-resolution technologies however have only achieved a slight improvement compared to the diffraction limit. In this context, we demonstrate a label-free imaging method, i.e., hyperbolic material enhanced scattering (HMES) nanoscopy, which breaks the diffraction limit by tailoring the light-matter interaction between the specimens and a hyperbolic material substrate. By exciting the highly confined evanescent hyperbolic polariton modes with dark-field detection, HMES nanoscopy successfully shows a high-contrast scattering image with a spatial resolution around 80 nm. Considering the wavelength at 532 nm and detection optics with a 0.6 numerical aperture (NA) objective lens, this value represents a 5.5-fold resolution improvement beyond the diffraction limit. HMES provides capabilities for super-resolution imaging where fluorescence is not available or challenging to apply.
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6
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Jayakumar N, Dullo FT, Dubey V, Ahmad A, Ströhl F, Cauzzo J, Guerreiro EM, Snir O, Skalko-Basnet N, Agarwal K, Ahluwalia BS. Multi-moded high-index contrast optical waveguide for super-contrast high-resolution label-free microscopy. NANOPHOTONICS 2022; 11:3421-3436. [PMID: 38144043 PMCID: PMC10741054 DOI: 10.1515/nanoph-2022-0100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 06/07/2022] [Accepted: 06/08/2022] [Indexed: 12/26/2023]
Abstract
The article elucidates the physical mechanism behind the generation of superior-contrast and high-resolution label-free images using an optical waveguide. Imaging is realized by employing a high index contrast multi-moded waveguide as a partially coherent light source. The modes provide near-field illumination of unlabeled samples, thereby repositioning the higher spatial frequencies of the sample into the far-field. These modes coherently scatter off the sample with different phases and are engineered to have random spatial distributions within the integration time of the camera. This mitigates the coherent speckle noise and enhances the contrast (2-10) × as opposed to other imaging techniques. Besides, the coherent scattering of the different modes gives rise to fluctuations in intensity. The technique demonstrated here is named chip-based Evanescent Light Scattering (cELS). The concepts introduced through this work are described mathematically and the high-contrast image generation process using a multi-moded waveguide as the light source is explained. The article then explores the feasibility of utilizing fluctuations in the captured images along with fluorescence-based techniques, like intensity-fluctuation algorithms, to mitigate poor-contrast and diffraction-limited resolution in the coherent imaging regime. Furthermore, a straight waveguide is demonstrated to have limited angular diversity between its multiple modes and therefore, for isotropic sample illumination, a multiple-arms waveguide geometry is used. The concepts introduced are validated experimentally via high-contrast label-free imaging of weakly scattering nanosized specimens such as extra-cellular vesicles (EVs), liposomes, nanobeads and biological cells such as fixed and live HeLa cells.
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Affiliation(s)
- Nikhil Jayakumar
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Firehun T. Dullo
- Department of Microsystems and Nanotechnology, SINTEF Digital, Gaustadalleen 23C, 0373Oslo, Norway
| | - Vishesh Dubey
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Azeem Ahmad
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Florian Ströhl
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Jennifer Cauzzo
- Department of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø9037, Norway
| | | | - Omri Snir
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Natasa Skalko-Basnet
- Department of Pharmacy, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Krishna Agarwal
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø9037, Norway
| | - Balpreet Singh Ahluwalia
- Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø9037, Norway
- Department of Clinical Science, Intervention and Technology, Karolinska Insitute, 17177Stockholm, Sweden
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7
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Xiao M, Tian F, Liu X, Zhou Q, Pan J, Luo Z, Yang M, Yi C. Virus Detection: From State-of-the-Art Laboratories to Smartphone-Based Point-of-Care Testing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2105904. [PMID: 35393791 PMCID: PMC9110880 DOI: 10.1002/advs.202105904] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/27/2022] [Indexed: 05/07/2023]
Abstract
Infectious virus outbreaks pose a significant challenge to public healthcare systems. Early and accurate virus diagnosis is critical to prevent the spread of the virus, especially when no specific vaccine or effective medicine is available. In clinics, the most commonly used viral detection methods are molecular techniques that involve the measurement of nucleic acids or proteins biomarkers. However, most clinic-based methods require complex infrastructure and expensive equipment, which are not suitable for low-resource settings. Over the past years, smartphone-based point-of-care testing (POCT) has rapidly emerged as a potential alternative to laboratory-based clinical diagnosis. This review summarizes the latest development of virus detection. First, laboratory-based and POCT-based viral diagnostic techniques are compared, both of which rely on immunosensing and nucleic acid detection. Then, various smartphone-based POCT diagnostic techniques, including optical biosensors, electrochemical biosensors, and other types of biosensors are discussed. Moreover, this review covers the development of smartphone-based POCT diagnostics for various viruses including COVID-19, Ebola, influenza, Zika, HIV, et al. Finally, the prospects and challenges of smartphone-based POCT diagnostics are discussed. It is believed that this review will aid researchers better understand the current challenges and prospects for achieving the ultimate goal of containing disease-causing viruses worldwide.
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Affiliation(s)
- Meng Xiao
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Feng Tian
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHunghomHong Kong999077P. R. China
| | - Xin Liu
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Qiaoqiao Zhou
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Jiangfei Pan
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Zhaofan Luo
- Department of Clinical LaboratoryThe Seventh Affiliated Hospital of Sun Yat‐Sen UniversityShenzhen518107P. R. China
| | - Mo Yang
- Department of Biomedical EngineeringThe Hong Kong Polytechnic UniversityHunghomHong Kong999077P. R. China
| | - Changqing Yi
- Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical EngineeringShenzhen Campus of Sun Yat‐Sen UniversityShenzhen518107P. R. China
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8
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Bakhshpour M, Chiodi E, Celebi I, Saylan Y, Ünlü NL, Ünlü MS, Denizli A. Sensitive and real-time detection of IgG using interferometric reflecting imaging sensor system. Biosens Bioelectron 2022; 201:113961. [PMID: 35026547 DOI: 10.1016/j.bios.2021.113961] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/20/2021] [Accepted: 12/31/2021] [Indexed: 11/16/2022]
Abstract
Considering the limitations of well-known traditional detection techniques, innovative research studies have focused on the development of new sensors to offer label-free, highly sensitive, real-time, low-cost, and rapid detection for biomolecular interactions. In this study, we demonstrate immunoglobulin G (IgG) detection in aqueous solutions by using real-time and label-free kinetic measurements of the Interferometric Reflectance Imaging Sensor (IRIS) system. By performing kinetic characterization experiments, the sensor's performance is comprehensively evaluated and a high correlation coefficient value (>0.94) is obtained in the IgG concentration range of 1-50 μg/mL with a low detection limit (0.25 μg/mL or 1.67 nM). Moreover, the highly sensitive imaging system ensures accurate quantification and reliable validation of recorded binding events, offering new perspectives in terms of direct biomarker detection for clinical applications.
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Affiliation(s)
- Monireh Bakhshpour
- Hacettepe University, Department of Chemistry, Ankara, Turkey; Boston University, Department of Electrical and Computer Engineering, Boston, MA, United States
| | - Elisa Chiodi
- Boston University, Department of Electrical and Computer Engineering, Boston, MA, United States
| | - Iris Celebi
- Boston University, Department of Electrical and Computer Engineering, Boston, MA, United States
| | - Yeşeren Saylan
- Hacettepe University, Department of Chemistry, Ankara, Turkey
| | - Nese Lortlar Ünlü
- Boston University, Department of Biomedical Engineering, Boston, MA, United States
| | - M Selim Ünlü
- Boston University, Department of Electrical and Computer Engineering, Boston, MA, United States; Boston University, Department of Biomedical Engineering, Boston, MA, United States
| | - Adil Denizli
- Hacettepe University, Department of Chemistry, Ankara, Turkey.
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9
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Zong H, Yurdakul C, Bai Y, Zhang M, Ünlü MS, Cheng JX. Background-Suppressed High-Throughput Mid-Infrared Photothermal Microscopy via Pupil Engineering. ACS PHOTONICS 2021; 8:3323-3336. [PMID: 35966035 PMCID: PMC9373987 DOI: 10.1021/acsphotonics.1c01197] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Mid-infrared photothermal (MIP) microscopy has been a promising label-free chemical imaging technique for functional characterization of specimens owing to its enhanced spatial resolution and high specificity. Recently developed wide-field MIP imaging modalities have drastically improved speed and enabled high-throughput imaging of micron-scale subjects. However, the weakly scattered signal from subwavelength particles becomes indistinguishable from the shot-noise as a consequence of the strong background light, leading to limited sensitivity. Here, we demonstrate background-suppressed chemical fingerprinting at a single nanoparticle level by selectively attenuating the reflected light through pupil engineering in the collection path. Our technique provides over 3 orders of magnitude background suppression by quasi-darkfield illumination in the epi-configuration without sacrificing lateral resolution. We demonstrate 6-fold signal-to-background noise ratio improvement, allowing for simultaneous detection and discrimination of hundreds of nanoparticles across a field of view of 70 μm × 70 μm. A comprehensive theoretical framework for photothermal image formation is provided and experimentally validated with 300 and 500 nm PMMA beads. The versatility and utility of our technique are demonstrated via hyperspectral dark-field MIP imaging of S. aureus and E. coli bacteria and MIP imaging of subcellular lipid droplets inside C. albicans and cancer cells.
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Affiliation(s)
- Haonan Zong
- Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - Celalettin Yurdakul
- Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - Yeran Bai
- Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - Meng Zhang
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - M Selim Ünlü
- Department of Electrical and Computer Engineering and Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - Ji-Xin Cheng
- Department of Electrical and Computer Engineering and Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States
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10
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Priest L, Peters JS, Kukura P. Scattering-based Light Microscopy: From Metal Nanoparticles to Single Proteins. Chem Rev 2021; 121:11937-11970. [PMID: 34587448 PMCID: PMC8517954 DOI: 10.1021/acs.chemrev.1c00271] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Indexed: 02/02/2023]
Abstract
Our ability to detect, image, and quantify nanoscopic objects and molecules with visible light has undergone dramatic improvements over the past few decades. While fluorescence has historically been the go-to contrast mechanism for ultrasensitive light microscopy due to its superior background suppression and specificity, recent developments based on light scattering have reached single-molecule sensitivity. They also have the advantages of universal applicability and the ability to obtain information about the species of interest beyond its presence and location. Many of the recent advances are driven by novel approaches to illumination, detection, and background suppression, all aimed at isolating and maximizing the signal of interest. Here, we review these developments grouped according to the basic principles used, namely darkfield imaging, interferometric detection, and surface plasmon resonance microscopy.
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Affiliation(s)
| | | | - Philipp Kukura
- Physical and Theoretical
Chemistry Laboratory, Department of Chemistry, University of Oxford, South Parks Road, Oxford OX1 3QZ, United Kingdom
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11
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Godeffroy L, Ciocci P, Nsabimana A, Miranda Vieira M, Noël JM, Combellas C, Lemineur JF, Kanoufi F. Deciphering Competitive Routes for Nickel-Based Nanoparticle Electrodeposition by an Operando Optical Monitoring. Angew Chem Int Ed Engl 2021; 60:16980-16983. [PMID: 34101324 DOI: 10.1002/anie.202106420] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Indexed: 11/09/2022]
Abstract
Electrodeposition of earth-abundant iron group metals such as nickel is difficult to characterize by simple electrochemical analyses since the reduction of their metal salts often competes with inhibiting reactions. This makes the mechanistic interpretation sometimes contradictory, preventing unambiguous predictions about the nature and structure of the electrodeposited material. Herein, the complexity of Ni nanoparticles (NPs) electrodeposition on indium tin oxide (ITO) is unraveled operando and at a single entity NP level by optical microscopy correlated to ex situ SEM imaging. Our correlative approach allows differentiating the dynamics of formation of two different NP populations, metallic Ni and Ni(OH)2 with a <25 nm limit of detection, their formation being ruled by the competition between Ni2+ and water reduction. At the single NP level this results in a self-terminated growth, an information which is most often hidden in ensemble averaged measurements.
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Affiliation(s)
| | - Paolo Ciocci
- Unviersité de Paris, ITODYS, CNRS, 75006, Paris, France
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12
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Deciphering Competitive Routes for Nickel‐Based Nanoparticle Electrodeposition by an Operando Optical Monitoring. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202106420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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13
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Chiodi E, Marn AM, Geib MT, Ünlü MS. The Role of Surface Chemistry in the Efficacy of Protein and DNA Microarrays for Label-Free Detection: An Overview. Polymers (Basel) 2021; 13:1026. [PMID: 33810267 PMCID: PMC8036480 DOI: 10.3390/polym13071026] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 03/23/2021] [Accepted: 03/23/2021] [Indexed: 01/04/2023] Open
Abstract
The importance of microarrays in diagnostics and medicine has drastically increased in the last few years. Nevertheless, the efficiency of a microarray-based assay intrinsically depends on the density and functionality of the biorecognition elements immobilized onto each sensor spot. Recently, researchers have put effort into developing new functionalization strategies and technologies which provide efficient immobilization and stability of any sort of molecule. Here, we present an overview of the most widely used methods of surface functionalization of microarray substrates, as well as the most recent advances in the field, and compare their performance in terms of optimal immobilization of the bioreceptor molecules. We focus on label-free microarrays and, in particular, we aim to describe the impact of surface chemistry on two types of microarray-based sensors: microarrays for single particle imaging and for label-free measurements of binding kinetics. Both protein and DNA microarrays are taken into consideration, and the effect of different polymeric coatings on the molecules' functionalities is critically analyzed.
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Affiliation(s)
- Elisa Chiodi
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA; (A.M.M.); (M.T.G.); (M.S.Ü.)
| | - Allison M. Marn
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA; (A.M.M.); (M.T.G.); (M.S.Ü.)
| | - Matthew T. Geib
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA; (A.M.M.); (M.T.G.); (M.S.Ü.)
| | - M. Selim Ünlü
- Department of Electrical Engineering, Boston University, Boston, MA 02215, USA; (A.M.M.); (M.T.G.); (M.S.Ü.)
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
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14
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Vibrational Spectroscopic Detection of a Single Virus by Mid-Infrared Photothermal Microscopy. Anal Chem 2021; 93:4100-4107. [DOI: 10.1021/acs.analchem.0c05333] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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15
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Seymour E, Ünlü NL, Carter EP, Connor JH, Ünlü MS. Configurable Digital Virus Counter on Robust Universal DNA Chips. ACS Sens 2021; 6:229-237. [PMID: 33427442 DOI: 10.1021/acssensors.0c02203] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Here, we demonstrate real-time multiplexed virus detection by applying a DNA-directed antibody immobilization technique in a single-particle interferometric reflectance imaging sensor (SP-IRIS). In this technique, the biosensor chip surface spotted with different DNA sequences is converted to a multiplexed antibody array by flowing antibody-DNA conjugates and allowing for specific DNA-DNA hybridization. The resulting antibody array is shown to detect three different recombinant vesicular stomatitis viruses (rVSVs), which are genetically engineered to express surface glycoproteins of Ebola, Marburg, and Lassa viruses in real time in a disposable microfluidic cartridge. We also show that this method can be modified to produce a single-step, homogeneous assay format by mixing the antibody-DNA conjugates with the virus sample in the solution phase prior to incubation in the microfluidic cartridge, eliminating the antibody immobilization step. This homogenous approach achieved detection of the model Ebola virus, rVSV-EBOV, at a concentration of 100 PFU/mL in 1 h. Finally, we demonstrate the feasibility of this homogeneous technique as a rapid test using a passive microfluidic cartridge. A concentration of 104 PFU/mL was detectable under 10 min for the rVSV-Ebola virus. Utilizing DNA microarrays for antibody-based diagnostics is an alternative approach to antibody microarrays and offers advantages such as configurable sensor surface, long-term storage ability, and decreased antibody use. We believe that these properties will make SP-IRIS a versatile and robust platform for point-of-care diagnostics applications.
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Affiliation(s)
- Elif Seymour
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - Nese Lortlar Ünlü
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States
| | - Erik P. Carter
- Department of Microbiology, Boston University School of Medicine, Boston, Massachusetts 02218, United States
| | - John H. Connor
- Department of Microbiology, Boston University School of Medicine, Boston, Massachusetts 02218, United States
| | - M. Selim Ünlü
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States
- Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts 02215, United States
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16
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Yurdakul C, Ünlü MS. Computational nanosensing from defocus in single particle interferometric reflectance microscopy. OPTICS LETTERS 2020; 45:6546-6549. [PMID: 33258864 DOI: 10.1364/ol.409458] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 10/25/2020] [Indexed: 06/12/2023]
Abstract
Single particle interferometric reflectance (SPIR) microscopy has been studied as a powerful imaging platform for label-free and highly sensitive biological nanoparticle detection and characterization. SPIR's interferometric nature yields a unique 3D defocus intensity profile of the nanoparticles over a large field of view. Here, we utilize this defocus information to recover high signal-to-noise ratio nanoparticle images with a computationally and memory efficient reconstruction framework. Our direct inversion approach recovers this image from a 3D defocus intensity stack using the vectorial-optics-based forward model developed for sub-diffraction-limited dielectric nanoparticles captured on a layered substrate. We demonstrate proof-of-concept experiments on silica beads with a 50 nm nominal diameter.
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17
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Bonati C, Laforest T, Kunzi M, Moser C. Phase sensitivity in differential phase contrast microscopy: limits and strategies to improve it. OPTICS EXPRESS 2020; 28:33767-33783. [PMID: 33115036 DOI: 10.1364/oe.409890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 10/19/2020] [Indexed: 06/11/2023]
Abstract
The phase sensitivity limit of Differential Phase Contrast (DPC) with partially coherent light is analyzed in details. The parameters to tune phase sensitivity, such as the diameter of illumination, the numerical aperture of the objective, and the noise of the camera are taken into account to determine the minimum phase contrast that can be detected. We found that a priori information about the sample can be used to fine-tune these parameters to increase phase contrast. Based on this information, we propose a simple algorithm to predict phase sensitivity of a DPC setup, which can be performed before the setup is built. Experiments confirm the theoretical findings.
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18
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Highly sensitive and label-free digital detection of whole cell E. coli with Interferometric Reflectance Imaging. Biosens Bioelectron 2020; 162:112258. [PMID: 32392159 DOI: 10.1016/j.bios.2020.112258] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 04/26/2020] [Accepted: 04/28/2020] [Indexed: 11/24/2022]
Abstract
Bacterial infectious diseases are a major threat to human health. Timely and sensitive pathogenic bacteria detection is crucial in bacterial contaminations identification and preventing the spread of infectious diseases. Due to limitations of conventional bacteria detection techniques there have been concerted research efforts towards developing new biosensors. Biosensors offering label-free, whole bacteria detection are highly desirable over those relying on label-based or pathogenic molecular components detection. The major advantage is eliminating the additional time and cost required for labeling or extracting the desired bacterial components. Here, we demonstrate rapid, sensitive and label-free Escherichia coli (E. coli) detection utilizing interferometric reflectance imaging enhancement allowing visualizing individual pathogens captured on the surface. Enabled by our ability to count individual bacteria on a large sensor surface, we demonstrate an extrapolated limit of detection of 2.2 CFU/ml from experimental data in buffer solution with no sample preparation. To the best of our knowledge, this level of sensitivity for whole E. coli detection is unprecedented in label-free biosensing. The specificity of our biosensor is validated by comparing the response to target bacteria E. coli and non-target bacteria S. aureus, K. pneumonia and P. aeruginosa. The biosensor's performance in tap water proves that its detection capability is unaffected by the sample complexity. Furthermore, our sensor platform provides high optical magnification imaging and thus validation of recorded detection events as the target bacteria based on morphological characterization. Therefore, our sensitive and label-free detection method offers new perspectives for direct bacterial detection in real matrices and clinical samples.
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