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      Portable, smartphone-linked, and miniaturized photonic resonator absorption microscope (PRAM Mini) for point-of-care diagnostics

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          Abstract

          We report the design, development, and characterization of a miniaturized version of the photonic resonator absorption microscope (PRAM Mini), whose cost, size, and functionality are compatible with point-of-care (POC) diagnostic assay applications. Compared to previously reported versions of the PRAM instrument, the PRAM Mini components are integrated within an optical framework comprised of an acrylic breadboard and plastic alignment fixtures. The instrument incorporates a Raspberry Pi microprocessor and Bluetooth communication circuit board for wireless control and data connection to a linked smartphone. PRAM takes advantage of enhanced optical absorption of ∼80 nm diameter gold nanoparticles (AuNP) whose localized surface plasmon resonance overlaps with the ∼625 nm resonant reflection wavelength of a photonic crystal (PC) surface. When illuminated with wide-field low-intensity collimated light from a ∼617 nm wavelength red LED, each AuNP linked to the PC surface results in locally reduced reflection intensity, which is visualized by observing dark spots in the PC-reflected image with an inexpensive CMOS image sensor. Each AuNP in the image field of view can be easily counted with digital resolution. We report upon the selection of optical/electronic components, image processing algorithm, and contrast achieved for single AuNP detection. The instrument is operated via a wireless connection to a linked mobile device using a custom-developed software application that runs on an Android smartphone. As a representative POC application, we used the PRAM Mini as the detection instrument for an assay that measures the presence of antibodies against SARS-CoV-2 infection in cat serum samples, where each dark spot in the image represents a complex between one immobilized viral antigen, one antibody molecule, and one AuNP tag. With dimensions of 23 × 21 × 10 cm 3, the PRAM Mini offers a compact detection instrument for POC diagnostics.

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          Photonic crystals: emerging biosensors and their promise for point-of-care applications

          This review describes photonic crystal-based biosensors and discusses their potential applications and promise at the point-of-care settings. Biosensors are extensively employed for diagnosing a broad array of diseases and disorders in clinical settings worldwide. The implementation of biosensors at the point-of-care (POC), such as at primary clinics or the bedside, faces impediments because they may require highly trained personnel, have long assay times, large sizes, and high instrumental cost. Thus, there exists a need to develop inexpensive, reliable, user-friendly, and compact biosensing systems at the POC. Biosensors incorporated with photonic crystal (PC) structures hold promise to address many of the aforementioned challenges facing the development of new POC diagnostics. Currently, PC-based biosensors have been employed for detecting a variety of biotargets, such as cells, pathogens, proteins, antibodies, and nucleic acids, with high efficiency and selectivity. In this review, we provide a broad overview of PCs by explaining their structures, fabrication techniques, and sensing principles. Furthermore, we discuss recent applications of PC-based biosensors incorporated with emerging technologies, including telemedicine, flexible and wearable sensing, smart materials and metamaterials. Finally, we discuss current challenges associated with existing biosensors, and provide an outlook for PC-based biosensors and their promise at the POC.
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            Optofluidic fluorescent imaging cytometry on a cell phone.

            Fluorescent microscopy and flow cytometry are widely used tools in biomedical sciences. Cost-effective translation of these technologies to remote and resource-limited environments could create new opportunities especially for telemedicine applications. Toward this direction, here we demonstrate the integration of imaging cytometry and fluorescent microscopy on a cell phone using a compact, lightweight, and cost-effective optofluidic attachment. In this cell-phone-based optofluidic imaging cytometry platform, fluorescently labeled particles or cells of interest are continuously delivered to our imaging volume through a disposable microfluidic channel that is positioned above the existing camera unit of the cell phone. The same microfluidic device also acts as a multilayered optofluidic waveguide and efficiently guides our excitation light, which is butt-coupled from the side facets of our microfluidic channel using inexpensive light-emitting diodes. Since the excitation of the sample volume occurs through guided waves that propagate perpendicular to the detection path, our cell-phone camera can record fluorescent movies of the specimens as they are flowing through the microchannel. The digital frames of these fluorescent movies are then rapidly processed to quantify the count and the density of the labeled particles/cells within the target solution of interest. We tested the performance of our cell-phone-based imaging cytometer by measuring the density of white blood cells in human blood samples, which provided a decent match to a commercially available hematology analyzer. We further characterized the imaging quality of the same platform to demonstrate a spatial resolution of ~2 μm. This cell-phone-enabled optofluidic imaging flow cytometer could especially be useful for rapid and sensitive imaging of bodily fluids for conducting various cell counts (e.g., toward monitoring of HIV+ patients) or rare cell analysis as well as for screening of water quality in remote and resource-poor settings.
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              Trapping and sensing 10 nm metal nanoparticles using plasmonic dipole antennas.

              The optical trapping of Au nanoparticles with dimensions as small as 10 nm in the gap of plasmonic dipole antennas is demonstrated. Single nanoparticle trapping events are recorded in real time by monitoring the Rayleigh scattering spectra of individual plasmonic antennas. Numerical simulations are also performed to interpret the experimental results, indicating the possibility to trap nanoparticles only a few nanometers in size. This work unveils the potential associated with the integration of plasmonic trapping with localized surface plasmon resonance based sensing techniques, in order to deliver analyte to specific, highly sensitive regions ("hot spots").
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                Author and article information

                Journal
                Biomed Opt Express
                Biomed Opt Express
                BOE
                Biomedical Optics Express
                Optica Publishing Group
                2156-7085
                05 September 2024
                01 October 2024
                : 15
                : 10
                : 5691-5705
                Affiliations
                [1 ]Nick Holonyak Micro and Nanotechnology Laboratory, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA
                [2 ]Department of Bioengineering, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA
                [3 ]Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign , Urbana, Illinois, USA
                [4 ]Department of Pathobiology, College of Veterinary Medicine , University of Illinois at Urbana-Champaign , Urbana, Illinois, USA
                [5 ]Zhejiang University-University of Illinois Urbana-Champaign Institute , Zhejiang, China
                [6 ]Department of Population Medicine and Diagnostic Sciences, Cornell University , Ithaca, New York, USA
                [7 ]Carl R. Woese Institute for Genomic Biology , University of Illinois at Urbana-Champaign , Urbana, Illinois, USA
                [8 ]Cancer Center at Illinois, Urbana, Illinois, USA
                Author notes
                [†]

                K.K. and W.L. contributed equally to this work

                Author information
                https://orcid.org/0000-0003-4106-0790
                https://orcid.org/0000-0002-0114-1871
                Article
                531388
                10.1364/BOE.531388
                11482178
                39421766
                df8e883b-7e3d-481d-ac49-210c3f9f206d
                © 2024 Optica Publishing Group

                https://doi.org/10.1364/OA_License_v2#VOR-OA

                © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

                History
                : 31 May 2024
                : 13 August 2024
                : 25 August 2024
                Funding
                Funded by: National Institute of Health
                Award ID: R01AI166791
                Funded by: National Science Foundation 10.13039/100000001
                Award ID: PFI-TT1919015
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                Vision sciences
                Vision sciences

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