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Goncharov A, Gorocs Z, Pradhan R, Ko B, Ajmal A, Rodriguez A, Baum D, Veszpremi M, Yang X, Pindrys M, Zheng T, Wang O, Ramella-Roman JC, McShane MJ, Ozcan A. Insertable Glucose Sensor Using a Compact and Cost-Effective Phosphorescence Lifetime Imager and Machine Learning. ACS NANO 2024; 18:23365-23379. [PMID: 39137319 PMCID: PMC11363142 DOI: 10.1021/acsnano.4c06527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/30/2024] [Accepted: 08/02/2024] [Indexed: 08/15/2024]
Abstract
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional electrochemical CGMs. Here, we report a computational CGM system, which integrates a biocompatible phosphorescence-based insertable biosensor and a custom-designed phosphorescence lifetime imager (PLI). This compact and cost-effective PLI is designed to capture phosphorescence lifetime images of an insertable sensor through the skin, where the lifetime of the emitted phosphorescence signal is modulated by the local concentration of glucose. Because this phosphorescence signal has a very long lifetime compared to tissue autofluorescence or excitation leakage processes, it completely bypasses these noise sources by measuring the sensor emission over several tens of microseconds after the excitation light is turned off. The lifetime images acquired through the skin are processed by neural network-based models for misalignment-tolerant inference of glucose levels, accurately revealing normal, low (hypoglycemia) and high (hyperglycemia) concentration ranges. Using a 1 mm thick skin phantom mimicking the optical properties of human skin, we performed in vitro testing of the PLI using glucose-spiked samples, yielding 88.8% inference accuracy, also showing resilience to random and unknown misalignments within a lateral distance of ∼4.7 mm with respect to the position of the insertable sensor underneath the skin phantom. Furthermore, the PLI accurately identified larger lateral misalignments beyond 5 mm, prompting user intervention for realignment. The misalignment-resilient glucose concentration inference capability of this compact and cost-effective PLI makes it an appealing wearable diagnostics tool for real-time tracking of glucose and other biomarkers.
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Affiliation(s)
- Artem Goncharov
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
- Bioengineering
Department, University of California, Los Angeles, California 90095, United States
- California
NanoSystems Institute (CNSI), University
of California, Los Angeles, California 90095, United States
| | - Zoltan Gorocs
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
- Bioengineering
Department, University of California, Los Angeles, California 90095, United States
- California
NanoSystems Institute (CNSI), University
of California, Los Angeles, California 90095, United States
| | - Ridhi Pradhan
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Brian Ko
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
| | - Ajmal Ajmal
- Department
of Biomedical Engineering, Florida International
University, Miami, Florida 33199, United States
| | - Andres Rodriguez
- Department
of Biomedical Engineering, Florida International
University, Miami, Florida 33199, United States
| | - David Baum
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
| | - Marcell Veszpremi
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
| | - Xilin Yang
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
- Bioengineering
Department, University of California, Los Angeles, California 90095, United States
- California
NanoSystems Institute (CNSI), University
of California, Los Angeles, California 90095, United States
| | - Maxime Pindrys
- Department
of Physics, University of Connecticut, Storrs, Connecticut 06269, United States
| | - Tianle Zheng
- Department
of Computer Science, University of California, Los Angeles, California 90095, United States
| | - Oliver Wang
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
| | - Jessica C. Ramella-Roman
- Department
of Biomedical Engineering, Florida International
University, Miami, Florida 33199, United States
| | - Michael J. McShane
- Department
of Biomedical Engineering, Texas A&M
University, College
Station, Texas 77843, United States
- Department
of Materials Science and Engineering, Texas
A&M University, College Station, Texas 77843, United States
| | - Aydogan Ozcan
- Electrical
& Computer Engineering Department, University
of California, Los Angeles, California 90095, United States
- Bioengineering
Department, University of California, Los Angeles, California 90095, United States
- California
NanoSystems Institute (CNSI), University
of California, Los Angeles, California 90095, United States
- Department
of Surgery, University of California, Los Angeles, California 90095, United States
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Dubay R, Urban JN, Darling EM. Single-Cell Microgels for Diagnostics and Therapeutics. ADVANCED FUNCTIONAL MATERIALS 2021; 31:2009946. [PMID: 36329867 PMCID: PMC9629779 DOI: 10.1002/adfm.202009946] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Indexed: 05/14/2023]
Abstract
Cell encapsulation within hydrogel droplets is transforming what is feasible in multiple fields of biomedical science such as tissue engineering and regenerative medicine, in vitro modeling, and cell-based therapies. Recent advances have allowed researchers to miniaturize material encapsulation complexes down to single-cell scales, where each complex, termed a single-cell microgel, contains only one cell surrounded by a hydrogel matrix while remaining <100 μm in size. With this achievement, studies requiring single-cell resolution are now possible, similar to those done using liquid droplet encapsulation. Of particular note, applications involving long-term in vitro cultures, modular bioinks, high-throughput screenings, and formation of 3D cellular microenvironments can be tuned independently to suit the needs of individual cells and experimental goals. In this progress report, an overview of established materials and techniques used to fabricate single-cell microgels, as well as insight into potential alternatives is provided. This focused review is concluded by discussing applications that have already benefited from single-cell microgel technologies, as well as prospective applications on the cusp of achieving important new capabilities.
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Affiliation(s)
- Ryan Dubay
- Center for Biomedical Engineering, Brown University, 175 Meeting St., Providence, RI 02912, USA
- Draper, 555 Technology Sq., Cambridge, MA 02139, USA
| | - Joseph N Urban
- Center for Biomedical Engineering, Brown University, 175 Meeting St., Providence, RI 02912, USA
| | - Eric M Darling
- Department of Molecular Pharmacology, Physiology, and Biotechnology, Center for Biomedical Engineering, School of Engineering, Department of Orthopaedics, Brown University, 175 Meeting St., Providence, RI 02912, USA
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Kozan N, Savka I, Kryvetskyi V, Oliynyk I. Laser-Induced Spectral-Selective Autofluorescent Microscopy as a Prospective Method of Research in Biomedicine. GALICIAN MEDICAL JOURNAL 2020. [DOI: 10.21802/gmj.2020.4.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
In modern medical diagnostics, optical methods of studying living tissues have become widespread and are collectively called "optical biopsy". One such method is autofluorescence microscopy, which provides additional information about the structural and functional features of the sample. In this paper, an analysis of existing data was performed on the properties of autofluorescence of cells and tissues to evaluate the available instrumental systems and methods for monitoring autofluorescence and the potential for its application in the biomedical field.
Over the past few years, advanced optical-electronic methods have become available to detect various pathological conditions of tissues and environments of the human body by evaluating signals emitted by endogenous fluorophores. Because these molecules are often involved in basic biological processes, they are important parameters for checking the condition of cells and tissues. In our opinion, analytical methods based on autofluorescence monitoring have great potential in both research and diagnosis, and interest in the use of these new analytical tools is constantly growing. Methods based on autofluorescence can give more information about the object under study with relatively lower costs and less diagnostic error.
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Dai B, Jiao Z, Zheng L, Bachman H, Fu Y, Wan X, Zhang Y, Huang Y, Han X, Zhao C, Huang TJ, Zhuang S, Zhang D. Colour compound lenses for a portable fluorescence microscope. LIGHT, SCIENCE & APPLICATIONS 2019; 8:75. [PMID: 31645921 PMCID: PMC6804733 DOI: 10.1038/s41377-019-0187-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 07/11/2019] [Accepted: 07/31/2019] [Indexed: 05/25/2023]
Abstract
In this article, we demonstrated a handheld smartphone fluorescence microscope (HSFM) that integrates dual-functional polymer lenses with a smartphone. The HSFM consists of a smartphone, a field-portable illumination source, and a dual-functional polymer lens that performs both optical imaging and filtering. Therefore, compared with the existing smartphone fluorescence microscope, the HSFM does not need any additional optical filters. Although fluorescence imaging has traditionally played an indispensable role in biomedical and clinical applications due to its high specificity and sensitivity for detecting cells, proteins, DNAs/RNAs, etc., the bulky elements of conventional fluorescence microscopes make them inconvenient for use in point-of-care diagnosis. The HSFM demonstrated in this article solves this problem by providing a multifunctional, miniature, small-form-factor fluorescence module. This multifunctional fluorescence module can be seamlessly attached to any smartphone camera for both bright-field and fluorescence imaging at cellular-scale resolutions without the use of additional bulky lenses/filters; in fact, the HSFM achieves magnification and light filtration using a single lens. Cell and tissue observation, cell counting, plasmid transfection evaluation, and superoxide production analysis were performed using this device. Notably, this lens system has the unique capability of functioning with numerous smartphones, irrespective of the smartphone model and the camera technology housed within each device. As such, this HSFM has the potential to pave the way for real-time point-of-care diagnosis and opens up countless possibilities for personalized medicine.
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Affiliation(s)
- Bo Dai
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Ziao Jiao
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Lulu Zheng
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Hunter Bachman
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27709 USA
| | - Yongfeng Fu
- Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, 200032 Shanghai, China
| | - Xinjun Wan
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Yule Zhang
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Yu Huang
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Xiaodian Han
- Department of Laboratory Medicine, Shanghai Cancer Center, Fudan University, 200032 Shanghai, China
| | - Chenglong Zhao
- Department of Physics, University of Dayton, Dayton, OH 45469 USA
- Department of Electro-Optics and Photonics, University of Dayton, Dayton, OH 45469 USA
| | - Tony Jun Huang
- Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27709 USA
| | - Songlin Zhuang
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
| | - Dawei Zhang
- Engineering Research Center of Optical Instrument and System, the Ministry of Education, Shanghai Key Laboratory of Modern Optical System, University of Shanghai for Science and Technology, 200093 Shanghai, China
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Polomska AK, Proulx ST, Brambilla D, Fehr D, Bonmarin M, Brändli S, Meboldt M, Steuer C, Vasileva T, Reinke N, Leroux JC, Detmar M. Minimally invasive method for the point-of-care quantification of lymphatic vessel function. JCI Insight 2019; 4:126515. [PMID: 30667371 DOI: 10.1172/jci.insight.126515] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 01/14/2019] [Indexed: 12/31/2022] Open
Abstract
Current clinical methods for the evaluation of lymphatic vessel function, crucial for early diagnosis and evaluation of treatment response of several pathological conditions, in particular of postsurgical lymphedema, are based on complex and mainly qualitative imaging techniques. To address this unmet medical need, we established a simple strategy for the painless and quantitative assessment of cutaneous lymphatic function. We prepared a lymphatic-specific tracer formulation, consisting of the clinically approved near-infrared fluorescent dye, indocyanine green, and the solubilizing surfactant Kolliphor HS15. The tracer was noninvasively delivered to the dermal layer of the skin using MicronJet600 hollow microneedles, and the fluorescence signal decay at the injection site was measured over time using a custom-made, portable detection device. The decay rate of fluorescence signal in the skin was used as a direct measure of lymphatic vessel drainage function. With this method, we could quantify impaired lymphatic clearance in transgenic mice lacking dermal lymphatics and distinguish distinct lymphatic clearance patterns in pigs in different body locations and under manual stimulus. Overall, this method has the potential for becoming a noninvasive and quantitative clinical "office test" for lymphatic function assessment.
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Affiliation(s)
- Anna K Polomska
- Swiss Federal Institute of Technology (ETH Zürich), Institute of Pharmaceutical Sciences, Zürich, Switzerland
| | - Steven T Proulx
- Swiss Federal Institute of Technology (ETH Zürich), Institute of Pharmaceutical Sciences, Zürich, Switzerland
| | | | - Daniel Fehr
- Zurich University of Applied Sciences, School of Engineering, Winterthur, Switzerland
| | - Mathias Bonmarin
- Zurich University of Applied Sciences, School of Engineering, Winterthur, Switzerland
| | - Simon Brändli
- Swiss Federal Institute of Technology (ETH Zürich), Department of Mechanical and Process Engineering, Zürich, Switzerland
| | - Mirko Meboldt
- Swiss Federal Institute of Technology (ETH Zürich), Department of Mechanical and Process Engineering, Zürich, Switzerland
| | - Christian Steuer
- Swiss Federal Institute of Technology (ETH Zürich), Institute of Pharmaceutical Sciences, Zürich, Switzerland
| | - Tsvetina Vasileva
- Swiss Federal Institute of Technology (ETH Zürich), Institute of Pharmaceutical Sciences, Zürich, Switzerland
| | - Nils Reinke
- Zurich University of Applied Sciences, School of Engineering, Winterthur, Switzerland
| | - Jean-Christophe Leroux
- Swiss Federal Institute of Technology (ETH Zürich), Institute of Pharmaceutical Sciences, Zürich, Switzerland
| | - Michael Detmar
- Swiss Federal Institute of Technology (ETH Zürich), Institute of Pharmaceutical Sciences, Zürich, Switzerland
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Lee MA, Nguyen FT, Scott K, Chan NY, Bakh NA, Jones KK, Pham C, Garcia-Salinas P, Garcia-Parraga D, Fahlman A, Marco V, Koman VB, Oliver RJ, Hopkins LW, Rubio C, Wilson RP, Meekan MG, Duarte CM, Strano MS. Implanted Nanosensors in Marine Organisms for Physiological Biologging: Design, Feasibility, and Species Variability. ACS Sens 2019; 4:32-43. [PMID: 30525471 DOI: 10.1021/acssensors.8b00538] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In recent decades, biologists have sought to tag animals with various sensors to study aspects of their behavior otherwise inaccessible from controlled laboratory experiments. Despite this, chemical information, both environmental and physiological, remains challenging to collect despite its tremendous potential to elucidate a wide range of animal behaviors. In this work, we explore the design, feasibility, and data collection constraints of implantable, near-infrared fluorescent nanosensors based on DNA-wrapped single-wall carbon nanotubes (SWNT) embedded within a biocompatible poly(ethylene glycol) diacrylate (PEGDA) hydrogel. These sensors are enabled by Corona Phase Molecular Recognition (CoPhMoRe) to provide selective chemical detection for marine organism biologging. Riboflavin, a key nutrient in oxidative phosphorylation, is utilized as a model analyte in in vitro and ex vivo tissue measurements. Nine species of bony fish, sharks, eels, and turtles were utilized on site at Oceanogràfic in Valencia, Spain to investigate sensor design parameters, including implantation depth, sensor imaging and detection limits, fluence, and stability, as well as acute and long-term biocompatibility. Hydrogels were implanted subcutaneously and imaged using a customized, field-portable Raspberry Pi camera system. Hydrogels could be detected up to depths of 7 mm in the skin and muscle tissue of deceased teleost fish ( Sparus aurata and Stenotomus chrysops) and a deceased catshark ( Galeus melastomus). The effects of tissue heterogeneity on hydrogel delivery and fluorescence visibility were explored, with darker tissues masking hydrogel fluorescence. Hydrogels were implanted into a living eastern river cooter ( Pseudemys concinna), a European eel ( Anguilla anguilla), and a second species of catshark ( Scyliorhinus stellaris). The animals displayed no observable changes in movement and feeding patterns. Imaging by high-resolution ultrasound indicated no changes in tissue structure in the eel and catshark. In the turtle, some tissue reaction was detected upon dissection and histopathology. Analysis of movement patterns in sarasa comet goldfish ( Carassius auratus) indicated that the hydrogel implants did not affect swimming patterns. Taken together, these results indicate that this implantable form factor is a promising technique for biologging using aquatic vertebrates with further development. Future work will tune the sensor detection range to the physiological range of riboflavin, develop strategies to normalize sensor signal to account for the optical heterogeneity of animal tissues, and design a flexible, wearable device incorporating optoelectronic components that will enable sensor measurements in moving animals. This work advances the application of nanosensors to organisms beyond the commonly used rodent and zebrafish models and is an important step toward the physiological biologging of aquatic organisms.
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Affiliation(s)
| | | | - Kathleen Scott
- Office of Animal Resources, University of Iowa, Iowa City, Iowa 52242, United States
| | | | | | | | | | - Pablo Garcia-Salinas
- Fundación Oceanogràfic de la Comunitat Valenciana, Research Department, Ciudad de las Artes y las Ciencias, 46013 Valencia, Spain
| | - Daniel Garcia-Parraga
- Fundación Oceanogràfic de la Comunitat Valenciana, Research Department, Ciudad de las Artes y las Ciencias, 46013 Valencia, Spain
| | - Andreas Fahlman
- Fundación Oceanogràfic de la Comunitat Valenciana, Research Department, Ciudad de las Artes y las Ciencias, 46013 Valencia, Spain
| | - Vicente Marco
- Fundación Oceanogràfic de la Comunitat Valenciana, Research Department, Ciudad de las Artes y las Ciencias, 46013 Valencia, Spain
| | | | | | - Lloyd W. Hopkins
- Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, United Kingdom
| | - Consuelo Rubio
- Fundación Oceanogràfic de la Comunitat Valenciana, Research Department, Ciudad de las Artes y las Ciencias, 46013 Valencia, Spain
| | - Rory P. Wilson
- Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, United Kingdom
| | - Mark G. Meekan
- Australian Institute of Marine Science, the Indian Ocean Marine Research Centre (IOMRC), University of Western Australia Oceans Institute, 35 Stirling Highway, Crawley, Western Australia 6009, Australia
| | - Carlos M. Duarte
- Red Sea Research Center, Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
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Sun H, Jia Y, Dong H, Fan L, Zheng J. Multiplex quantification of metals in airborne particulate matter via smartphone and paper-based microfluidics. Anal Chim Acta 2018; 1044:110-118. [DOI: 10.1016/j.aca.2018.07.053] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Revised: 07/01/2018] [Accepted: 07/23/2018] [Indexed: 12/25/2022]
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