Abstract
The role of point-of-care (POC) diagnostics is important in public health. With the support of smartphones, POC diagnostic technologies can be greatly improved. This opportunity has arisen from not only the large number and fast spread of cell-phones across the world but also their improved imaging/diagnostic functions. As a tool, the smartphone is regarded as part of a compact, portable, and low-cost system for real-time POC, even in areas with few resources. By combining near-infrared (NIR) imaging, measurement, and spectroscopy techniques, pathogens can be detected with high sensitivity. The whole process is rapid, accurate, and low-cost, and will set the future trend for POC diagnostics. In this review, the development of smartphone-based NIR fluorescent imaging technology was described, and the quality and potential of POC applications were discussed.
概要
护理点(POC)诊断在公共卫生中起到非常重要的作用。在智能手机的支持下,POC诊断技术得到极大的改进。不仅仅是因为手机在世界范围内的大量使用,而且还得益于其日益增强的成像/拍照功能。智能手机结合近红外成像、测量和光谱技术,可以高灵敏度地检测病原体。整个过程快速、准确、成本低廉,将成为POC诊断的未来趋势。本文综述了基于智能手机的近红外荧光成像技术的发展,并对其应用和潜力进行了讨论。
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References
Achigui HF, Sawan M, Fayomi CJB, 2008. A monolithic based NIRS front-end wireless sensor. Microelectronics J, 39(10): 1209–1217. https://doi.org/10.1016/j.mejo.2008.01.055
Antaris AL, Chen H, Cheng K, et al., 2016. A small-molecule dye for NIR-II imaging. Nat Mater, 15(2):235–242. https://doi.org/10.1038/nmat4476
Arafat Hossain M, Canning J, Ast S, et al., 2015. Combined “dual” absorption and fluorescence smartphone spectrometers. Opt Lett, 40(8):1737–1740. https://doi.org/10.1364/ol.40.001737
Baldursson S, Karanis P, 2011. Waterborne transmission of protozoan parasites: review of worldwide outbreaks—an update 2004–2010. Water Res, 45(20):6603–6614. https://doi.org/10.1016/j.watres.2011.10.013
Berlec A, Štrukelj B, 2014. A high-throughput biliverdin assay using infrared fluorescence. J Vet Diagn Invest, 26(4):521–526. https://doi.org/10.1177/1040638714535403
Berlec A, Završnik J, Butinar M, et al., 2015. In vivo imaging of Lactococcus lactis, Lactobacillus plantarum and Escherichia coli expressing infrared fluorescent protein in mice. Microb Cell Fact, 14:181. https://doi.org/10.1186/s12934-015-0376-4
Breslauer DN, Maamari RN, Switz NA, et al., 2009. Mobile phone based clinical microscopy for global health applications. PLoS ONE, 4(7):e6320. https://doi.org/10.1371/journal.pone.0006320
Bui N, Nguyen A, Nguyen P, et al., 2017. PhO2: smartphone based blood oxygen level measurement systems using near-IR and RED wave-guided light. Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems CD-ROM. ACM, New York, USA, p.230–244. https://doi.org/10.1145/3131672.3131696
Ceylan Koydemir H, Ozcan A, 2018. Smartphones democratize advanced biomedical instruments and foster innovation. Clin Pharmacol Ther, 104(1):38–41. https://doi.org/10.1002/cpt.1081
Chance B, Nioka S, Kent J, et al., 1988. Time-resolved spectroscopy of hemoglobin and myoglobin in resting and ischemic muscle. Anal Biochem, 174(2):698–707. https://doi.org/10.1016/0003-2697(88)90076-0
Chen CY, Hofherr SE, Schwegel JS, et al., 2008. Real-time near infrared fluorescence imaging of viruses and ligands. Mol Ther, 16(S1):S21. https://doi.org/10.1016/S1525-0016(16)39455-2
Chen ZY, Zhu N, Pacheco S, et al., 2014. Single camera imaging system for color and near-infrared fluorescence image guided surgery. Biomed Opt Express, 5(8):2791–2797. https://doi.org/10.1364/BOE.5.002791
Chou CC, Lee TT, Chen CH, et al., 2006. Design of microarray probes for virus identification and detection of emerging viruses at the genus level. BMC Bioinformatics, 7:232. https://doi.org/10.1186/1471-2105-7-232
Chung S, Breshears LE, Yoon JY, 2018. Smartphone near infrared monitoring of plant stress. Comput Electron Agric, 154:93–98. https://doi.org/10.1016/j.compag.2018.08.046
Cunningham BP, Bolley B, 2016. Telemedicine and smartphones: is there a role for technology in the austere environment? In: de Dios Robinson J (Ed.), Orthopaedic Trauma in the Austere Environment: A Practical Guide to Care in the Humanitarian Setting. Springer, Cham, p.677–683. https://doi.org/10.1007/978-3-319-29122-2_51
Dias DDS, 2015. Design of a Low-Cost Wireless NIRS System with Embedded Linux and a Smartphone Interface. MS Thesis, Wright State University, Ohio, USA.
Ding D, Li K, Liu B, et al., 2013. Bioprobes based on AIE fluorogens. Acc Chem Res, 46(11):2441–2453. https://doi.org/10.1021/ar3003464
Dinjaski N, Suri S, Valle J, et al., 2014. Near-infrared fluorescence imaging as an alternative to bioluminescent bacteria to monitor biomaterial-associated infections. Acta Biomater, 10(7):2935–2944. https://doi.org/10.1016/j.actbio.2014.03.005
Foster AE, Kwon S, Ke S, et al., 2008. In vivo fluorescent optical imaging of cytotoxic T lymphocyte migration using IRDye800CW near-infrared dye. Appl Opt, 47(31): 5944–5952. https://doi.org/10.1364/AO.47.005944
Frangioni JV, 2003. In vivo near-infrared fluorescence imaging. Curr Opin Chem Biol, 7(5):626–634. https://doi.org/10.1016/j.cbpa.2003.08.007
Fu MY, Xiao Y, Qian XH, et al., 2008. A design concept of long-wavelength fluorescent analogs of rhodamine dyes: replacement of oxygen with silicon atom. Chem Commun, (15):1780–1782. https://doi.org/10.1039/b718544h
Ghassemi P, Wang BH, Wang JT, et al., 2017. Evaluation of mobile phone performance for near-infrared fluorescence imaging. IEEE Trans Biomed Eng, 64(7): 1650–1653. https://doi.org/10.1109/tbme.2016.2601014
Gopinath SCB, Tang TH, Chen Y, et al., 2014. Bacterial detection: from microscope to smartphone. Biosens Bioelectron, 60: 332–342. https://doi.org/10.1016/j.bios.2014.04.014
Handa T, Katare RG, Sasaguri S, et al., 2009. Preliminary experience for the evaluation of the intraoperative graft patency with real color charge-coupled device camera system: an advanced device for simultaneous capturing of color and near-infrared images during coronary artery bypass graft. Interact Cardiovasc Thorac Surg, 9(2):150–154. https://doi.org/10.1510/icvts.2008.201418
Haspot F, Lavault A, Sinzger C, et al., 2012. Human cytomegalovirus entry into dendritic cells occurs via a macropinocytosis-like pathway in a pH-independent and cholesterol-dependent manner. PLoS ONE, 7(4):e34795. https://doi.org/10.1371/journal.pone.0034795
Heuker M, Gomes A, van Dijl JM, et al., 2016. Preclinical studies and prospective clinical applications for bacteria-targeted imaging: the future is bright. Clin Transl Imaging, 4(4):253–264. https://doi.org/10.1007/s40336-016-0190-y
Hol FJH, Dekker C, 2014. Zooming in to see the bigger picture: microfluidic and nanofabrication tools to study bacteria. Science, 346(6208):1251821. https://doi.org/10.1126/science.1251821
Holz C, Ofek E, 2018. Doubling the signal quality of smartphone camera pulse oximetry using the display screen as a controllable selective light source. Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, p.1–4. https://doi.org/10.1109/EMBC.2018.8513286
Hong GS, Antaris AL, Dai HJ, 2017. Near-infrared fluorophores for biomedical imaging. Nat Biomed Eng, 1:0010. https://doi.org/10.1038/s41551-016-0010
Huang ES, Johnson RA, 2000. Human cytomegalovirus—no longer just a DNA virus. Nat Med, 6(8):863. https://doi.org/10.1038/78612
Hussain I, Bora AJ, Sarma D, et al., 2018. Design of a smartphone platform compact optical system operational both in visible and near infrared spectral regime. IEEE Sens J, 18(12):4933–4939. https://doi.org/10.1109/jsen.2018.2832848
Hyun H, Wada H, Bao K, et al., 2014. Phosphonated near-infrared fluorophores for biomedical imaging of bone. Angew Chem Int Ed, 53(40):10668–10672. https://doi.org/10.1002/anie.201404930
Hyun H, Owens EA, Wada H, et al., 2015. Cartilage-specific near-infrared fluorophores for biomedical imaging. Angew Chem Int Ed, 54(30):8648–8652. https://doi.org/10.1002/anie.201502287
Isomura M, Yamada K, Noguchi K, et al., 2017. Near-infrared fluorescent protein iRFP720 is optimal for in vivo fluorescence imaging of rabies virus infection. J Gen Virol, 98(11):2689–2698. https://doi.org/10.1099/jgv.0.000950
Kaile K, Godavarty A, 2019. Development and validation of a smartphone-based near-infrared optical imaging device to measure physiological changes in-vivo. Micromachines, 10(3):180. https://doi.org/10.3390/mi10030180
Kanva AK, Sharma CJ, Deb S, 2014. Determination of SpO2 and heart-rate using smartphone camera. Proceedings of International Conference on Control, Instrumentation, Energy and Communication, p.237–241. https://doi.org/10.1109/CIEC.2014.6959086
Kim CK, Lee S, Koh D, et al., 2011. Development of wireless NIRS system with dynamic removal of motion artifacts. Biomed Eng Lett, 1(4):254–259. https://doi.org/10.1007/s13534-011-0042-7
Kim JG, Liu H, 2007. Variation of haemoglobin extinction coefficients can cause errors in the determination of haemoglobin concentration measured by near-infrared spectroscopy. Phys Med Biol, 52(20):6295–6322. https://doi.org/10.1088/0031-9155/52/20/014
Kleerebezem M, Beerthuyzen MM, Vaughan EE, et al., 1997. Controlled gene expression systems for lactic acid bacteria: transferable nisin-inducible expression cassettes for Lactococcus, Leuconostoc, and Lactobacillus spp. Appl Environ Microbiol, 63(11):4581–4584. https://doi.org/10.1128/AEM.63.11.4581-4584.1997
Knowlton S, Joshi A, Syrrist P, et al., 2017. 3D-printed smartphone-based point of care tool for fluorescence- and magnetophoresis-based cytometry. Lab Chip, 17(16): 2839–2851. https://doi.org/10.1039/c7lc00706j
Koide Y, Urano Y, Hanaoka K, et al., 2011. Evolution of group 14 rhodamines as platforms for near-infrared fluorescence probes utilizing photoinduced electron transfer. ACS Chem Biol, 6(6):600–608. https://doi.org/10.1021/cb1002416
Koydemir HC, Gorocs Z, Tseng D, et al., 2015. Rapid imaging, detection and quantification of Giardia lamblia cysts using mobile-phone based fluorescent microscopy and machine learning. Lab Chip, 15(5):1284–1293. https://doi.org/10.1039/c4lc01358a
Kühnemund M, Wei QS, Darai E, et al., 2017. Targeted DNA sequencing and in situ mutation analysis using mobile phone microscopy. Nat Commun, 8:13913. https://doi.org/10.1038/ncomms13913
Liang PS, Park TS, Yoon JY, 2014. Rapid and reagentless detection of microbial contamination within meat utilizing a smartphone-based biosensor. Sci Rep, 4:5953. https://doi.org/10.1038/srep05953
Long KD, Woodburn EV, Le HM, et al., 2017. Multimode smartphone biosensing: the transmission, reflection, and intensity spectral (TRI)-analyzer. Lab Chip, 17(19):3246–3257. https://doi.org/10.1039/c7lc00633k
Lukinavičius G, Umezawa K, Olivier N, et al., 2013. A near-infrared fluorophore for live-cell super-resolution microscopy of cellular proteins. Nat Chem, 5(2):132–139. https://doi.org/10.1038/nchem.1546
Luo JD, Xie ZL, Lam JWY, et al., 2001. Aggregation-induced emission of 1-methyl-1,2,3,4,5-pentaphenylsilole. Chem Commun, 36(18):1740–1741. https://doi.org/10.1039/b105159h
Luo SL, Zhang EL, Su YP, et al., 2011. A review of NIR dyes in cancer targeting and imaging. Biomaterials, 32(29):7127–7138. https://doi.org/10.1016/j.biomaterials.2011.06.024
Männik J, Wu FB, Hol FJH, et al., 2012. Robustness and accuracy of cell division in Escherichia coli in diverse cell shapes. Proc Natl Acad Sci USA, 109(18):6957–6962. https://doi.org/10.1073/pnas.1120854109
Marshall MV, Rasmussen JC, Tan IC, et al., 2010. Near-infrared fluorescence imaging in humans with indocyanine green: a review and update. Open Surg Oncol J, 2(2):12–25. https://doi.org/10.2174/1876504101002010012
McAuliffe KJ, Kaster MA, Szlag RG, et al., 2017. Low-symmetry mixed fluorinated subphthalocyanines as fluorescence imaging probes in MDA-MB-231 breast tumor cells. Int J Mol Sci, 18(6):1177. https://doi.org/10.3390/ijms18061177
McCartney P, 2014. Smart phones transform patient-centered telemedicine. MCN, 39(6):382. https://doi.org/10.1097/nmc.0000000000000087
McGonigle AJS, Wilkes TC, Pering TD, et al., 2018. Smartphone spectrometers. Sensors (Basel), 18(1):223. https://doi.org/10.3390/s18010223
Mei J, Leung NLC, Kwok RTK, et al., 2015. Aggregation-induced emission: together we shine, united we soar!. Chem Rev, 115(21):11718–11940. https://doi.org/10.1021/acs.chemrev.5b00263
Michael B, 2010. Optical Properties of Films and Coatings Handbook of Optics: Volume IV-Optical Properties of Materials, Nonlinear Optics, Quantum Optics, 3rd Ed. McGraw Hill Professional, Access Engineering.
Mierau I, Kleerebezem M, 2005. 10 years of the nisin-controlled gene expression system (NICE) in Lactococcus lactis. Appl Microbiol Biotechnol, 68(6):705–717. https://doi.org/10.1007/s00253-005-0107-6
Mirica KA, Shevkoplyas SS, Phillips ST, et al., 2009. Measuring densities of solids and liquids using magnetic levitation: fundamentals. J Am Chem Soc, 131(29):10049–10058. https://doi.org/10.1021/ja900920s
Nemiroski A, Kumar AA, Soh S, et al., 2016. High-sensitivity measurement of density by magnetic levitation. Anal Chem, 88(5):2666–2674. https://doi.org/10.1021/acs.analchem.5b03918
Neuman BP, Eifler JB, Castanares M, et al., 2015. Real-time, near-infrared fluorescence imaging with an optimized dye/light source/camera combination for surgical guidance of prostate cancer. Clin Cancer Res, 21(4):771–780. https://doi.org/10.1158/1078-0432.ccr-14-0891
Owens EA, Henary M, el Fakhri G, et al., 2016. Tissue-specific near-infrared fluorescence imaging. Acc Chem Res, 49(9):1731–1740. https://doi.org/10.1021/acs.accounts.6b00239
Pan H, Zhang PF, Gao DY, et al., 2014. Noninvasive visualization of respiratory viral infection using bioorthogonal conjugated near-infrared-emitting quantum dots. ACS Nano, 8(6):5468–5477. https://doi.org/10.1021/nn501028b
Pansare VJ, Hejazi S, Faenza WJ, et al., 2012. Review of long-wavelength optical and NIR imaging materials: contrast agents, fluorophores, and multifunctional nano carriers. Chem Mater, 24(5):812–827. https://doi.org/10.1021/cm2028367
Pügner T, Knobbe J, Grüger H, 2016. Near-infrared grating spectrometer for mobile phone applications. Appl Spectrosc, 70(5):734–745. https://doi.org/10.1177/0003702816638277
Qi P, Zhang D, Sun Y, et al., 2016. A selective near-infrared fluorescent probe for hydrogen sulfide and its application in sulfate-reducing bacteria detection. Anal Methods, 8(16): 3339–3344. https://doi.org/10.1039/c6ay00054a
Rateni G, Dario P, Cavallo F, 2017. Smartphone-based food diagnostic technologies: a review. Sensors (Basel), 17(6): 1453. https://doi.org/10.3390/s17061453
Rolfe P, 2000. In vivo near-infrared spectroscopy. Annu Rev Biomed Eng, 2:715–754. https://doi.org/10.1146/annurev.bioeng.2.1.715
Safaie J, Grebe R, Moghaddam HA, et al., 2013. Wireless distributed acquisition system for near infrared spectroscopy—WDA-NIRS. J Innov Opt Health Sci, 6(3):1350019. https://doi.org/10.1142/s1793545813500193
Sakuda T, Kubo T, Johan MP, et al., 2019. Novel near-infrared fluorescence-guided surgery with vesicular stomatitis virus for complete surgical resection of osteosarcomas in mice. J Orthop Res, 37(5):1192–1201. https://doi.org/10.1002/jor.24277
Schaafsma BE, Mieog JSD, Hutteman M, et al., 2011. The clinical use of indocyanine green as a near-infrared fluorescent contrast agent for image-guided oncologic surgery. J Surg Oncol, 104(3):323–332. https://doi.org/10.1002/jso.21943
Scott AS, Baltzan MA, Wolkove N, 2014. Examination of pulse oximetry tracings to detect obstructive sleep apnea in patients with advanced chronic obstructive pulmonary disease. Can Respir J, 21:948717. https://doi.org/10.1155/2014/948717
Sevick-Muraca EM, Sharma R, Rasmussen JC, et al., 2008. Imaging of lymph flow in breast cancer patients after microdose administration of a near-infrared fluorophore: feasibility study. Radiology, 246(3):734–741. https://doi.org/10.1148/radiol.2463070962
Shcherbakova DM, Baloban M, Emelyanov AV, et al., 2016. Bright monomeric near-infrared fluorescent proteins as tags and biosensors for multiscale imaging. Nat Commun, 7:12405. https://doi.org/10.1038/ncomms12405
Shcherbo D, Shemiakina II, Ryabova AV, et al., 2010. Near-infrared fluorescent proteins. Nat Methods, 7(10):827–829. https://doi.org/10.1038/nmeth.1501
Shieh P, Siegrist MS, Cullen AJ, et al., 2014. Imaging bacterial peptidoglycan with near-infrared fluorogenic azide probes. Proc Natl Acad Sci USA, 111(15):5456–5461. https://doi.org/10.1073/pnas.1322727111
Shu XK, Royant A, Lin MZ, et al., 2009. Mammalian expression of infrared fluorescent proteins engineered from a bacterial phytochrome. Science, 324(5928):804–807. https://doi.org/10.1126/science.1168683
Sletten EM, Bertozzi CR, 2009. Bioorthogonal chemistry: fishing for selectivity in a sea of functionality. Angew Chem Int Ed, 48(38):6974–6998. https://doi.org/10.1002/anie.200900942
Smith ZJ, Chu KQ, Espenson AR, et al., 2011. Cell-phone-based platform for biomedical device development and education applications. PLoS ONE, 6(3):e17150. https://doi.org/10.1371/journal.pone.0017150
Stoye JP, Coffin JM, 1988. Polymorphism of murine endogenous proviruses revealed by using virus class-specific oligonucleotide probes. J Virol, 62(1):168–175. https://doi.org/10.1128/JVI.62.1.168-175.1988
Strangman G, Franceschini MA, Boas DA, 2003. Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters. NeuroImage, 18(4):865–879. https://doi.org/10.1016/S1053-8119(03)00021-1
Suresh N, Tang QG, Liu Y, et al., 2018. Characterization and in vivo application of mobile phones for near-infrared fluorescence imaging of tumors. Proceedings of Frontiers in Optics 2018, Washington DC, USA. https://doi.org/10.1364/FIO.2018.JW3A.117
Tan X, Luo SL, Long L, et al., 2017. Structure-guided design and synthesis of a mitochondria-targeting near-infrared fluorophore with multimodal therapeutic activities. Adv Mater, 29(43):1704196. https://doi.org/10.1002/adma.201704196
Tang R, Xue JP, Xu BG, et al., 2015. Tunable ultrasmall visible-to-extended near-infrared emitting silver sulfide quantum dots for integrin-targeted cancer imaging. ACS Nano, 9(1):220–230. https://doi.org/10.1021/nn5071183
Troyan SL, Kianzad V, Gibbs-Strauss SL, et al., 2009. The FLARE™ intraoperative near-infrared fluorescence imaging system: a first-in-human clinical trial in breast cancer sentinel lymph node mapping. Ann Surg Oncol, 16(10): 2943–2952. https://doi.org/10.1245/s10434-009-0594-2
Urano Y, Asanuma D, Hama Y, et al., 2008. Selective molecular imaging of viable cancer cells with pH-activatable fluorescence probes. Nat Med, 15:104–109. https://doi.org/10.1038/nm.1854
Vaithianathan T, Tullis IDC, Everdell N, et al., 2004. Design of a portable near infrared system for topographic imaging of the brain in babies. Rev Sci Instrum, 75(10): 3276–3283. https://doi.org/10.1063/1.1775314
Vanegas M, Carp S, Fang QQ, 2018. Mobile phone camera based near-infrared spectroscopy measurements. Proceedings of Clinical and Translational Biophotonics 2018, Hollywood, Florida, USA. https://doi.org/10.1364/TRANSLATIONAL.2018.JTu3A.64
Ventola CL, 2014. Mobile devices and apps for health care professionals: uses and benefits. P T, 39(5):356–364.
Wang P, Robert L, Pelletier J, et al., 2010. Robust growth of Escherichia coli. Curr Biol, 20(12):1099–1103. https://doi.org/10.1016/j.cub.2010.04.045
Watanabe T, Sekine R, Mizuno T, et al., 2016. Development of portable, wireless and smartphone controllable near-infrared spectroscopy system. In: Luo QM, Li LZ, Harrison DK, et al. (Eds.), Oxygen Transport to Tissue XXXVIII. Springer, Cham, p.385–392. https://doi.org/10.1007/978-3-319-38810-6_50
Wei QS, Qi HF, Luo W, et al., 2013. Fluorescent imaging of single nanoparticles and viruses on a smart phone. ACS Nano, 7(10):9147–9155. https://doi.org/10.1021/nn4037706
Wei QS, Luo W, Chiang S, et al., 2014. Imaging and sizing of single DNA molecules on a mobile phone. ACS Nano, 8(12): 12725–12733. https://doi.org/10.1021/nn505821y
Wilkes TC, McGonigle AJS, Willmott JR, et al., 2017. Low-cost 3D printed 1 nm resolution smartphone sensor-based spectrometer: instrument design and application in ultraviolet spectroscopy. Opt Lett, 42(21):4323–4326. https://doi.org/10.1364/ol.42.004323
Wu FB, van Rijn E, van Schie BGC, et al., 2015a. Multicolor imaging of the bacterial nucleoid and division proteins with blue, orange, and near-infrared fluorescent proteins. Front Microbiol, 6:607. https://doi.org/10.3389/fmicb.2015.00607
Wu FB, van Schie BGC, Keymer JE, et al., 2015b. Symmetry and scale orient Min protein patterns in shaped bacterial sculptures. Nat Nanotechnol, 10(8):719–726. https://doi.org/10.1038/nnano.2015.126
Yoo JH, 2013. The meaning of information technology (IT) mobile devices to me, the infectious disease physician. Infect Chemother, 45(2):244–251. https://doi.org/10.3947/ic.2013.45.2.244
Zhang CL, Anzalone NC, Faria RP, et al., 2013. Open-source 3D-printable optics equipment. PLoS ONE, 8(3):e59840. https://doi.org/10.1371/journal.pone.0059840
Zhang Y, Sun JW, Wei G, et al., 2009. Design of a portable near infra-red spectroscopy system for tissue oxygenation measurement. Proceedings of the 3rd International Conference on Bioinformatics and Biomedical Engineering, Beijing, China. https://doi.org/10.1109/ICBBE.2009.5162593
Zhao EG, Chen YL, Wang H, et al., 2015a. Light-enhanced bacterial killing and wash-free imaging based on AIE fluorogen. ACS Appl Mater Interfaces, 7(13):7180–7188. https://doi.org/10.1021/am509142k
Zhao EG, Chen YL, Chen SJ, et al., 2015b. A luminogen with aggregation-induced emission characteristics for wash-free bacterial imaging, high-throughput antibiotics screening and bacterial susceptibility evaluation. Adv Mater, 27(33): 4931–4937. https://doi.org/10.1002/adma.201501972
Zhao JY, Zhong D, Zhou SB, 2018. NIR-I-to-NIR-II fluorescent nanomaterials for biomedical imaging and cancer therapy. J Mater Chem B, 6(3):349–365. https://doi.org/10.1039/c7tb02573d
Zhou J, Yang F, Jiang GC, et al., 2016. Applications of indocyanine green based near-infrared fluorescence imaging in thoracic surgery. J Thorac Dis, 8(S9):S738–S743. https://doi.org/10.21037/jtd.2016.09.49
Zhou XX, Li WF, Ma GX, et al., 2006. The nisin-controlled gene expression system: construction, application and improvements. Biotechnol Adv, 24(3):285–295. https://doi.org/10.1016/j.biotechadv.2005.11.001
Zhu B, Sevick-Muraca EM, 2015. A review of performance of near-infrared fluorescence imaging devices used in clinical studies. Br J Radiol, 88(1045):20140547. https://doi.org/10.1259/bjr.20140547
Zhu BH, Rasmussen JC, Lu YJ, et al., 2010. Reduction of excitation light leakage to improve near-infrared fluorescence imaging for tissue surface and deep tissue imaging. Med Phys, 37(11):5961–5970. https://doi.org/10.1118/1.3497153
Zhu HY, Yaglidere O, Su TW, et al., 2011a. Cost-effective and compact wide-field fluorescent imaging on a cellphone. Lab Chip, 11(2):315–322. https://doi.org/10.1039/c0lc00358a
Zhu HY, Mavandadi S, Coskun AF, et al., 2011b. Optofluidic fluorescent imaging cytometry on a cell phone. Analy Chem, 83(17):6641–6647. https://doi.org/10.1021/ac201587a
Zhu HY, Yaglidere O, Su TW, et al., 2011c. Wide-field fluorescent microscopy on a cell-phone. Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, USA. https://doi.org/10.1109/IEMBS.2011.6091677
Zhu HY, Sikora U, Ozcan A, 2012. Quantum dot enabled detection of Escherichia coli using a cell-phone. Analyst, 137(11):2541–2544. https://doi.org/10.1039/c2an35071h
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This work was supported by the National Natural Science Foundation of China (No. 81773352) and the China Scholarship Council (No. 201703170071).
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Wenjing HUANG did most writing and literature review of the manuscript. Shenglin LUO contributed partial writing and some literature review. Dong YANG edited the manuscript. Sheng ZHANG contributed the framework of the manuscript and supervised the process. All authors have read and approved the final manuscript and, therefore, have full access to all the data in the study and take responsibility for the integrity and security of the data.
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Wenjing HUANG, Shenglin LUO, Dong YANG, and Sheng ZHANG declare that they have no conflict of interest.
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5). Informed consent was obtained from all patients for being included in the study. Additional informed consent was obtained from all patients for whom identifying information is included in this article.
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Huang, W., Luo, S., Yang, D. et al. Applications of smartphone-based near-infrared (NIR) imaging, measurement, and spectroscopy technologies to point-of-care (POC) diagnostics. J. Zhejiang Univ. Sci. B 22, 171–189 (2021). https://doi.org/10.1631/jzus.B2000388
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DOI: https://doi.org/10.1631/jzus.B2000388
Key words
- Point-of-care (POC) diagnostics
- Near-infrared (NIR) fluorescent imaging
- Aggregation-induced emission (AIE)
- Smartphone-based imaging
- Fluorescent probe