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Raju G, Ranjan A, Banik S, Poddar A, Managuli V, Mazumder N. A commentary on the development and use of smartphone imaging devices. Biophys Rev 2024; 16:151-163. [PMID: 38737211 PMCID: PMC11078910 DOI: 10.1007/s12551-023-01175-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/04/2023] [Indexed: 05/14/2024] Open
Abstract
Current-age smartphones are known for their wide array of functionality and are now being utilized in the field of healthcare and medicine due to their proven capabilities as smartphone imaging devices (SIDs). Recent technical advancements enabled the integration of special add-on lenses with smartphones to transform them into SIDs. With the rising demand for efficient point-of-care (PoC) devices for better diagnostic applications, SIDs will be a one-stop solution. Additionally, portability, user-friendliness and low-cost make it accessible for all even at remote locations. Furthermore, improvements in resolution, magnification and field-of-view (FOV) have attracted the scientific community to use SIDs in various biomedical applications such as disease diagnosis, food quality control and pathogen detection. SIDs can be arranged in various combinational setups by using different illumination sources and optics to achieve suitable contrast and visibility of the specimen under study. This Commentary illustrates the various illumination sources used in SID and also spotlights their design and applications.
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Affiliation(s)
- Gagan Raju
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Aashrayi Ranjan
- Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Soumyabrata Banik
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Ashmini Poddar
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Vishwanath Managuli
- Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
| | - Nirmal Mazumder
- Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India
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Zhang W, Li Y, Chen B, Zhang Y, Du Z, Xiang F, Hu Y, Meng X, Shang C, Liang S, Yang X, Guan W. Fully integrated point-of-care blood cell count using multi-frame morphology analysis. Biosens Bioelectron 2023; 223:115012. [PMID: 36542936 DOI: 10.1016/j.bios.2022.115012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/29/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
Point-of-care testing (POCT) of blood cell count (BCC) is an emerging approach that allows laypersons to identify and count whole blood cells through simple manipulation. To date, POCTs for BCC were mainly achieved by "stationary" images through blood smears or single-laity arranged cells in the microwell, making it difficult to obtain statistically sufficient numbers of cells. In this work, we present a fully integrated POCT device solely using "in-flow" imaging of 3 μL fingertip whole blood for improved identification and counting accuracy of BCC analysis. A miniaturized magnetic stirring module was integrated to maintain the temporal stability of cell concentration. A relatively high throughput (∼8000 cells/min) with a 30-fold dilution ratio of whole blood can be tested for as long as 1 h to examine sufficient numbers of cells, and the subclass cell concentration keeps constant. To improve the identification accuracy, multi-frame "in-flow" imaging was used to track the cell motion trails with multi-angle morphology analysis. This proof-of-concept was then validated with healthy whole blood samples and 75 cases of clinical patients with abnormal concentrations of red blood cells (RBCs), white blood cells (WBCs), and platelets (PLT). The average precision (AP) value of WBCs identification was improved from 0.8622 to 0.9934 using the multi-frame analysis method. And the high fitting degrees (>0.98) between our POCT device and the commercial clinical equipment indicated good agreement. This POCT device is user-friendly and cost-effective, making it a potential tool for diagnosing abnormal blood cell morphology or concentration in the field setting.
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Affiliation(s)
- Wenchang Zhang
- Key Lab of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China.
| | - Ya Li
- Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Bing Chen
- Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Yuan Zhang
- Key Clinical Laboratory of Henan Province, Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Ziqiang Du
- School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Feibin Xiang
- Key Lab of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Yu Hu
- School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
| | - Xiaochen Meng
- Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science & Technology University, Beijing, 100192, China
| | - Chunliang Shang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, 100191, China
| | - Shengfa Liang
- Key Lab of Microelectronic Devices & Integrated Technology, Institute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Xiaonan Yang
- School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China.
| | - Weihua Guan
- Department of Electrical Engineering, Pennsylvania State University, University Park, 16802, USA; Department of Biomedical Engineering, Pennsylvania State University, University Park, 16802, USA.
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Kim K, Lee WG. Portable, Automated and Deep-Learning-Enabled Microscopy for Smartphone-Tethered Optical Platform Towards Remote Homecare Diagnostics: A Review. SMALL METHODS 2023; 7:e2200979. [PMID: 36420919 DOI: 10.1002/smtd.202200979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 10/18/2022] [Indexed: 06/16/2023]
Abstract
Globally new pandemic diseases induce urgent demands for portable diagnostic systems to prevent and control infectious diseases. Smartphone-based portable diagnostic devices are significantly efficient tools to user-friendly connect personalized health conditions and collect valuable optical information for rapid diagnosis and biomedical research through at-home screening. Deep learning algorithms for portable microscopes also help to enhance diagnostic accuracy by reducing the imaging resolution gap between benchtop and portable microscopes. This review highlighted recent progress and continued efforts in a smartphone-tethered optical platform through portable, automated, and deep-learning-enabled microscopy for personalized diagnostics and remote monitoring. In detail, the optical platforms through smartphone-based microscopes and lens-free holographic microscopy are introduced, and deep learning-based portable microscopic imaging is explained to improve the image resolution and accuracy of diagnostics. The challenges and prospects of portable optical systems with microfluidic channels and a compact microscope to screen COVID-19 in the current pandemic are also discussed. It has been believed that this review offers a novel guide for rapid diagnosis, biomedical imaging, and digital healthcare with low cost and portability.
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Affiliation(s)
- Kisoo Kim
- Intelligent Optical Module Research Center, Korea Photonics Technology Institute (KOPTI), Buk-gu, Gwangju, 61007, Republic of Korea
| | - Won Gu Lee
- Department of Mechanical Engineering, Kyung Hee University, Yongin, 17104, Republic of Korea
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Progress and Challenges of Point-of-Need Photonic Biosensors for the Diagnosis of COVID-19 Infections and Immunity. BIOSENSORS 2022; 12:bios12090678. [PMID: 36140063 PMCID: PMC9496547 DOI: 10.3390/bios12090678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/13/2022] [Accepted: 08/16/2022] [Indexed: 11/25/2022]
Abstract
The new coronavirus disease, COVID-19, caused by SARS-CoV-2, continues to affect the world and after more than two years of the pandemic, approximately half a billion people are reported to have been infected. Due to its high contagiousness, our life has changed dramatically, with consequences that remain to be seen. To prevent the transmission of the virus, it is crucial to diagnose COVID-19 accurately, such that the infected cases can be rapidly identified and managed. Currently, the gold standard of testing is polymerase chain reaction (PCR), which provides the highest accuracy. However, the reliance on centralized rapid testing modalities throughout the COVID-19 pandemic has made access to timely diagnosis inconsistent and inefficient. Recent advancements in photonic biosensors with respect to cost-effectiveness, analytical performance, and portability have shown the potential for such platforms to enable the delivery of preventative and diagnostic care beyond clinics and into point-of-need (PON) settings. Herein, we review photonic technologies that have become commercially relevant throughout the COVID-19 pandemic, as well as emerging research in the field of photonic biosensors, shedding light on prospective technologies for responding to future health outbreaks. Therefore, in this article, we provide a review of recent progress and challenges of photonic biosensors that are developed for the testing of COVID-19, consisting of their working fundamentals and implementation for COVID-19 testing in practice with emphasis on the challenges that are faced in different development stages towards commercialization. In addition, we also present the characteristics of a biosensor both from technical and clinical perspectives. We present an estimate of the impact of testing on disease burden (in terms of Disability-Adjusted Life Years (DALYs), Quality Adjusted Life Years (QALYs), and Quality-Adjusted Life Days (QALDs)) and how improvements in cost can lower the economic impact and lead to reduced or averted DALYs. While COVID19 is the main focus of these technologies, similar concepts and approaches can be used and developed for future outbreaks of other infectious diseases.
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Multi-Mode Compact Microscopy for High-Contrast and High-Resolution Imaging. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12157399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We report a multi-mode compact microscope (MCM) for high-contrast and high-resolution imaging. The MCM consists of two LED illuminations, a magnification lens, a lift stage, and a housing with image processing and LED control boards. The MCM allows multi-modal imaging, including reflection, transmission, and higher magnification modes. The dual illuminations also provide high-contrast imaging of various targets such as biological samples and microcircuits. The high dynamic range (HDR) imaging reconstruction of MCM increases the dynamic range of the acquired images by 1.36 times. The microlens array (MLA)-assisted MCM also improves image resolution through the magnified virtual image of MLA. The MLA-assisted MCM successfully provides a clear, magnified image by integrating a pinhole mask to prevent image overlap without additional alignment. The magnification of MLA-assisted MCM was increased by 3.92 times compared with that of MCM, and the higher magnification mode demonstrates the image resolution of 2.46 μm. The compact portable microscope can provide a new platform for defect inspection or disease detection on site.
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Namgung H, Kaba AM, Oh H, Jeon H, Yoon J, Lee H, Kim D. Quantitative Determination of 3D-Printing and Surface-Treatment Conditions for Direct-Printed Microfluidic Devices. BIOCHIP JOURNAL 2022. [DOI: 10.1007/s13206-022-00048-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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Yu Z, Li Y, Geng D, Wu P. A wide-field microscope utilizing two cellphones for health-care applications. JOURNAL OF BIOPHOTONICS 2022; 15:e202100200. [PMID: 34783187 DOI: 10.1002/jbio.202100200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 10/14/2021] [Accepted: 11/09/2021] [Indexed: 06/13/2023]
Abstract
In this report, we report a wide field-of-view (FOV) bright field (BF) microscope with compact and portable optical components, mechanically attached to the existing camera unit of the cellphone. A white screen displayed on a cellphone as the illumination source to pump the sample of interest uniformly for the purpose of the reduction in assembly complexity and alignment. It offers a large FOV of 4.36 × 3.27 mm without digital zoom and a spatial resolution of 1.5 μm. Furthermore, we also have demonstrated the potential application for diseases diagnosis and screening by imaging malaria-infected blood sample and iron deficiency anemia blood sample in resource-constrained settings where mobile phone infrastructure is already ubiquitous but microscope is notoriously scarce.
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Affiliation(s)
- Zhenfang Yu
- Analysis and Test Center of Sichuan Province, Chengdu, China
- Scientific Equipments Company of Sichuan Province, Chengdu, China
| | - Yunfei Li
- Analysis and Test Center of Sichuan Province, Chengdu, China
- Scientific Equipments Company of Sichuan Province, Chengdu, China
| | - Dongxian Geng
- Analysis and Test Center of Sichuan Province, Chengdu, China
- Scientific Equipments Company of Sichuan Province, Chengdu, China
| | - Pinghui Wu
- College of Physics & Information Engineering, Quanzhou Normal University, Quanzhou, China
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Rabha D, Biswas S, Hatiboruah D, Das P, Rather MA, Mandal M, Nath P. An affordable, handheld multimodal microscopic system with onboard cell morphology and counting features on a mobile device. Analyst 2022; 147:2859-2869. [DOI: 10.1039/d1an02317a] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A simple yet effective, handheld and flexible bright-field and fluorescence microscopic platform on a smartphone with varying optical magnifications is reported for morphological analysis and onboard cell counting features.
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Affiliation(s)
- Diganta Rabha
- Applied Photonics and Nanophotonics Laboratory, Department of Physics, Tezpur University, Sonitpur, Assam-784028, India
| | - Sritam Biswas
- Applied Photonics and Nanophotonics Laboratory, Department of Physics, Tezpur University, Sonitpur, Assam-784028, India
| | - Diganta Hatiboruah
- Applied Photonics and Nanophotonics Laboratory, Department of Physics, Tezpur University, Sonitpur, Assam-784028, India
| | - Priyanka Das
- Applied Photonics and Nanophotonics Laboratory, Department of Physics, Tezpur University, Sonitpur, Assam-784028, India
| | - Muzamil Ahmad Rather
- Department of Molecular Biology and Biotechnology, Tezpur University, Sonitpur, Assam-784028, India
| | - Manabendra Mandal
- Department of Molecular Biology and Biotechnology, Tezpur University, Sonitpur, Assam-784028, India
| | - Pabitra Nath
- Applied Photonics and Nanophotonics Laboratory, Department of Physics, Tezpur University, Sonitpur, Assam-784028, India
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Doh IJ, Kim H, Sturgis J, Rajwa B, Robinson JP, Bae E. Optical multi-channel interrogation instrument for bacterial colony characterization. PLoS One 2021; 16:e0247721. [PMID: 33630969 PMCID: PMC7906345 DOI: 10.1371/journal.pone.0247721] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/11/2021] [Indexed: 11/18/2022] Open
Abstract
A single instrument that includes multiple optical channels was developed to simultaneously measure various optical and associated biophysical characteristics of a bacterial colony. The multi-channel device can provide five distinct optical features without the need to transfer the sample to multiple locations or instruments. The available measurement channels are bright-field light microscopy, 3-D colony-morphology map, 2-D spatial optical-density distribution, spectral forward-scattering pattern, and spectral optical density. The series of multiple morphological interrogations is beneficial in understanding the bio-optical features of a bacterial colony and the correlations among them, resulting in an enhanced power of phenotypic bacterial discrimination. To enable a one-shot interrogation, a confocal laser scanning module was built as an add-on to an upright microscope. Three different-wavelength diode lasers were used for the spectral analysis, and high-speed pin photodiodes and CMOS sensors were utilized as detectors to measure the spectral OD and light-scatter pattern. The proposed instrument and algorithms were evaluated with four bacterial genera, Escherichia coli, Listeria innocua, Salmonella Typhimurium, and Staphylococcus aureus; their resulting data provided a more complete picture of the optical characterization of bacterial colonies.
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Affiliation(s)
- Iyll-Joon Doh
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, United States of America
| | - Huisung Kim
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, United States of America
| | - Jennifer Sturgis
- Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, Indiana, United States of America
| | - Bartek Rajwa
- Bindley Bioscience Center, Purdue University, West Lafayette, Indiana, United States of America
| | - J. Paul Robinson
- Basic Medical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, Indiana, United States of America
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, United States of America
| | - Euiwon Bae
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana, United States of America
- * E-mail:
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Imanbekova M, Perumal AS, Kheireddine S, Nicolau DV, Wachsmann-Hogiu S. Lensless, reflection-based dark-field microscopy (RDFM) on a CMOS chip. BIOMEDICAL OPTICS EXPRESS 2020; 11:4942-4959. [PMID: 33014592 PMCID: PMC7510856 DOI: 10.1364/boe.394615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 06/02/2020] [Accepted: 06/04/2020] [Indexed: 06/11/2023]
Abstract
We present for the first time a lens-free, oblique illumination imaging platform for on-sensor dark- field microscopy and shadow-based 3D object measurements. It consists of an LED point source that illuminates a 5-megapixel, 1.4 µm pixel size, back-illuminated CMOS sensor at angles between 0° and 90°. Analytes (polystyrene beads, microorganisms, and cells) were placed and imaged directly onto the sensor. The spatial resolution of this imaging system is limited by the pixel size (∼1.4 µm) over the whole area of the sensor (3.6×2.73 mm). We demonstrated two imaging modalities: (i) shadow imaging for estimation of 3D object dimensions (on polystyrene beads and microorganisms) when the illumination angle is between 0° and 85°, and (ii) dark-field imaging, at >85° illumination angles. In dark-field mode, a 3-4 times drop in background intensity and contrast reversal similar to traditional dark-field imaging was observed, due to larger reflection intensities at those angles. With this modality, we were able to detect and analyze morphological features of bacteria and single-celled algae clusters.
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Affiliation(s)
- Meruyert Imanbekova
- Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada
- Equal contributions
| | | | - Sara Kheireddine
- Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada
| | - Dan V. Nicolau
- Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada
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Kheireddine S, Smith ZJ, Nicolau DV, Wachsmann-Hogiu S. Simple adaptive mobile phone screen illumination for dual phone differential phase contrast (DPDPC) microscopy. BIOMEDICAL OPTICS EXPRESS 2019; 10:4369-4380. [PMID: 31565495 PMCID: PMC6757485 DOI: 10.1364/boe.10.004369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 07/11/2019] [Accepted: 07/18/2019] [Indexed: 05/03/2023]
Abstract
Phase contrast imaging is widely employed in the physical, biological, and medical sciences. However, typical implementations involve complex imaging systems that amount to in-line interferometers. We adapt differential phase contrast (DPC) to a dual-phone illumination-imaging system to obtain phase contrast images on a portable mobile phone platform. In this dual phone differential phase contrast (dpDPC) microscope, semicircles are projected sequentially on the display of one phone, and images are captured using a low-cost, short focal length lens attached to the second phone. By numerically combining images obtained using these semicircle patterns, high quality DPC images with ≈ 2 micrometer resolution can be easily acquired with no specialized hardware, circuitry, or instrument control programs.
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Affiliation(s)
- Sara Kheireddine
- Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada
| | - Zachary J. Smith
- Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China
| | - Dan V. Nicolau
- Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada
| | - Sebastian Wachsmann-Hogiu
- Department of Bioengineering, McGill University, Montreal, Quebec, H3A 0E9, Canada
- Department of Pathology and Laboratory Medicine, University of California Davis, Davis, CA 95616, USA
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