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Zhu B, Jonathan H. A Review of Image Sensors Used in Near-Infrared and Shortwave Infrared Fluorescence Imaging. SENSORS (BASEL, SWITZERLAND) 2024; 24:3539. [PMID: 38894330 PMCID: PMC11175340 DOI: 10.3390/s24113539] [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: 04/30/2024] [Revised: 05/24/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024]
Abstract
To translate near-infrared (NIR) and shortwave infrared (SWIR) fluorescence imaging into the clinic, the paired imaging device needs to detect trace doses of fluorescent imaging agents. Except for the filtration scheme and excitation light source, the image sensor used will finally determine the detection limitations of NIR and SWIR fluorescence imaging systems. In this review, we investigate the current state-of-the-art image sensors used in NIR and SWIR fluorescence imaging systems and discuss the advantages and limitations of their characteristics, such as readout architecture and noise factors. Finally, the imaging performance of these image sensors is evaluated and compared.
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Affiliation(s)
- Banghe Zhu
- The Center for Molecular Imaging, The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, TX 77030, USA
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2
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Golovynskyi S, Golovynska I, Roganova O, Golovynskyi A, Qu J, Ohulchanskyy TY. Hyperspectral imaging of lipids in biological tissues using near-infrared and shortwave infrared transmission mode: A pilot study. JOURNAL OF BIOPHOTONICS 2023:e202300018. [PMID: 37021842 DOI: 10.1002/jbio.202300018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/21/2023] [Accepted: 04/04/2023] [Indexed: 06/19/2023]
Abstract
Label-free hyperspectral imaging (HSI) of lipids was demonstrated in the near-infrared (NIR) and shortwave infrared (SWIR) regions (950-1800 nm) using porcine tissue. HSI was performed in the transmission light-pass configuration, using a NIR-SWIR camera coupled with a liquid crystal tunable filter. The transmittance spectra of the regions of interest (ROIs), which correspond to the lipid and muscle areas in the specimen, were utilized for the spectrum unmixing. The transmittance spectra in ROIs were compared with those recorded by a spectrophotometer using samples of adipose and muscle. The lipid optical absorption bands at 1210 and 1730 nm were first used for the unmixing and mapping. Then, we performed the continuous multiband unmixing over the entire available spectral range, thereby, considering a combination of characteristic absorption bands of lipids, proteins, and water. The enhanced protocol demonstrates the ability to visualize small adipose inclusions of 1-10 μm size.
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Affiliation(s)
- Sergii Golovynskyi
- Shenzhen Key Laboratory of Photonics and Biophotonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, People's Republic of China
| | - Iuliia Golovynska
- Shenzhen Key Laboratory of Photonics and Biophotonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, People's Republic of China
| | - Olena Roganova
- V.M. Glushkov Institute of Cybernetics, National Academy of Sciences, Kyiv, Ukraine
| | - Andrii Golovynskyi
- V.M. Glushkov Institute of Cybernetics, National Academy of Sciences, Kyiv, Ukraine
| | - Junle Qu
- Shenzhen Key Laboratory of Photonics and Biophotonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, People's Republic of China
| | - Tymish Y Ohulchanskyy
- Shenzhen Key Laboratory of Photonics and Biophotonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, People's Republic of China
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3
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Lifante J, de la Fuente-Fernández M, Román-Carmena M, Fernandez N, Jaque García D, Granado M, Ximendes E. In vivo grading of lipids in fatty liver by near-infrared autofluorescence and reflectance. JOURNAL OF BIOPHOTONICS 2023; 16:e202200208. [PMID: 36377726 DOI: 10.1002/jbio.202200208] [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: 07/04/2022] [Revised: 10/16/2022] [Accepted: 11/10/2022] [Indexed: 06/16/2023]
Abstract
The prevalence of nonalcoholic fatty liver (NAFLD) is rapidly increasing worldwide. When untreated, it may lead to complications such as liver cirrhosis or hepatocarcinoma. The diagnosis of NAFLD is usually obtained by ultrasonography, a technique that can underestimate its prevalence. For this reason, physicians aspire for an accurate, cost-effective, and noninvasive method to determine both the presence and the specific stage of the NAFLD. In this paper, we report an integrated approach for the quantitative estimation of the density of triglycerides in the liver based on the use of autofluorescence and reflectance signals generated by the abdomen of obese C57BL6/J mice. Singular value decomposition is applied to the generated spectra and its corresponding regression model provided a determination coefficient of 0.99 and a root mean square error of 240 mg/dl. This, in turn, enabled the quantitative imaging of triglycerides density in the livers of mice under in vivo conditions.
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Affiliation(s)
- José Lifante
- Nanomaterials for Bioimaging Group (nanoBIG), Universidad Autónoma de Madrid, Madrid, Spain
- IRYCIS, Madrid, Spain
| | | | | | - Nuria Fernandez
- Nanomaterials for Bioimaging Group (nanoBIG), Universidad Autónoma de Madrid, Madrid, Spain
| | - Daniel Jaque García
- Nanomaterials for Bioimaging Group (nanoBIG), Universidad Autónoma de Madrid, Madrid, Spain
- IRYCIS, Madrid, Spain
| | - Miriam Granado
- Nanomaterials for Bioimaging Group (nanoBIG), Universidad Autónoma de Madrid, Madrid, Spain
| | - Erving Ximendes
- Nanomaterials for Bioimaging Group (nanoBIG), Universidad Autónoma de Madrid, Madrid, Spain
- IRYCIS, Madrid, Spain
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4
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Rodrigues EM, Calvert ND, Crawford JC, Liu N, Shuhendler AJ, Hemmer E. Phytoglycogen Encapsulation of Lanthanide-Based Nanoparticles as an Optical Imaging Platform with Therapeutic Potential. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2107130. [PMID: 35560500 DOI: 10.1002/smll.202107130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 04/23/2022] [Indexed: 06/15/2023]
Abstract
Lanthanide-based upconverting nanoparticles (UCNPs) are largely sought-after for biomedical applications ranging from bioimaging to therapy. A straightforward strategy is proposed here using the naturally sourced polymer phytoglycogen to coencapsulate UCNPs with hydrophobic photosensitizers as an optical imaging platform and light-induced therapeutic agents. The resulting multifunctional sub-micrometer-sized luminescent beads are shown to be cytocompatible as carrier materials, which encourages the assessment of their potential in biomedical applications. The loading of UCNPs of various elemental compositions enables multicolor hyperspectral imaging of the UCNP-loaded beads, endowing these materials with the potential to serve as luminescent tags for multiplexed imaging or simultaneous detection of different moieties under near-infrared (NIR) excitation. Coencapsulation of UCNPs and Rose Bengal opens the door for potential application of these microcarriers for collagen crosslinking. Alternatively, coloading UCNPs with Chlorin e6 enables NIR-light triggered generation of reactive oxygen species. Overall, the developed encapsulation methodology offers a straightforward and noncytotoxic strategy yielding water-dispersible UCNPs while preserving their bright and color-tunable upconversion emission that would allow them to fulfill their potential as multifunctional platforms for biomedical applications.
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Affiliation(s)
- Emille M Rodrigues
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
| | - Nicholas D Calvert
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
- University of Ottawa Heart Institute, University of Ottawa, 501 Smyth Road, Ottawa, Ontario, K1Y 4W7, Canada
| | - Justin C Crawford
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
| | - Nan Liu
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
| | - Adam J Shuhendler
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
- University of Ottawa Heart Institute, University of Ottawa, 501 Smyth Road, Ottawa, Ontario, K1Y 4W7, Canada
- Centre for Advanced Materials Research (CAMaR), University of Ottawa, 25 Templeton, Ottawa, Ontario, K1N 6X1, Canada
| | - Eva Hemmer
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
- Centre for Advanced Materials Research (CAMaR), University of Ottawa, 25 Templeton, Ottawa, Ontario, K1N 6X1, Canada
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5
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Rodrigues EM, Hemmer E. Trends in hyperspectral imaging: from environmental and health sensing to structure-property and nano-bio interaction studies. Anal Bioanal Chem 2022; 414:4269-4279. [PMID: 35175390 DOI: 10.1007/s00216-022-03959-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 02/01/2022] [Accepted: 02/03/2022] [Indexed: 11/01/2022]
Abstract
Hyperspectral imaging (HSI) is a technique that allows for the simultaneous acquisition of both spatial and spectral information. While HSI has been known for years in the field of remote sensing, for instance in geology, cultural heritage, or food industries, it recently emerged in the fields of nano- and micromaterials as well as bioimaging and -sensing. Herein, the attractiveness of HSI arises from the suitability for generating knowledge about environment-specific optical properties, such as photoluminescence of optical probes in a biological sample or at a single-crystal/particle level, to be leveraged into better understanding of structure-property relationships and nano-bio interactions, respectively. Moreover, given its excellent spectral resolution, HSI is highly suitable for optical multiplexing in multiple dimensions, as sought after for, e.g., high throughput biological imaging by simultaneous tracking of multiple targets. Overall, HSI is an emerging technique that has the potential to transform analytical approaches from biomedicine to advanced materials research. This Trends Article provides insight into the potential of HSI, highlighting selected examples from well-established fields including environmental monitoring and food quality control to set the stage for the discussion of emerging opportunities at the micro- and nanoscale. Herein, special focus is set on photoluminescent micro- and nanoprobes for health and spectral conversion applications.
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Affiliation(s)
- Emille Martinazzo Rodrigues
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada
| | - Eva Hemmer
- Department of Chemistry and Biomolecular Sciences, University of Ottawa, 10 Marie Curie Private, Ottawa, Ontario, K1N 6N5, Canada.
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6
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Kim B, Hwang J, Yi J, Kim DR, Urbas A, Ku Z, Lee CH. Replicable Quasi-Three-Dimensional Plasmonic Nanoantennas for Infrared Bandpass Filtering. ACS APPLIED MATERIALS & INTERFACES 2021; 13:24024-24031. [PMID: 33990134 DOI: 10.1021/acsami.1c03932] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Quasi-three-dimensionally designed metal-dielectric hybrid nanoantennas have provided a unique capability to control light at the nanoscale beyond the diffraction limit, which has enabled powerful optical manipulation techniques. However, the fabrication of these nanoantennas has largely relied on the use of nanolithography techniques that are time- and cost-consuming, impeding their application in wide-ranging use. Herein, we report a versatile methodology enabling the repetitive replication of these nanoantennas from their silicon molds with tailored optical features for infrared bandpass filtering. Comprehensive experimental and computational analyses revealed the underlying mechanism of this methodology and also provided a technical guideline for pragmatic translation into infrared filters in multispectral imaging.
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Affiliation(s)
- Bongjoong Kim
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Jehwan Hwang
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
| | - Jonghun Yi
- School of Mechanical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Dong Rip Kim
- School of Mechanical Engineering, Hanyang University, Seoul 04763, Republic of Korea
| | - Augustine Urbas
- Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base 45433, United States
| | - Zahyun Ku
- Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base 45433, United States
| | - Chi Hwan Lee
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States
- Department of Materials Engineering, Purdue University, West Lafayette, Indiana 47907, United States
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7
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Leslie J, Robinson SM, Oakley F, Luli S. Non-invasive synchronous monitoring of neutrophil migration using whole body near-infrared fluorescence-based imaging. Sci Rep 2021; 11:1415. [PMID: 33446811 PMCID: PMC7809207 DOI: 10.1038/s41598-021-81097-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 12/30/2020] [Indexed: 12/20/2022] Open
Abstract
Advances in fluorescence imaging coupled with the generation of near infrared probes have significantly improved the capabilities of non-invasive, real-time imaging in whole animals. In this study we were able to overcome a limitation of in vivo fluorescence imaging and have established a dual cell tracking method where two different cell types can be monitored according to the spectral signature of the cell labelling fluorophore. Using a mouse model of acute liver injury, we have characterised the in vivo migration patterns of wild type and transgenic neutrophils with impaired chemotaxis. Here, we were able to demonstrate that IVIS provides a sensitive multiplexing technology to differentiate two different cell populations based on the spectral signature of the cell labelling fluorophores. This spectral unmixing methodology has the potential to uncover multidimensional cellular interactions involved in many diseases such as fibrosis and cancer. In vivo spectral un-mixing provides a useful tool for monitoring multiple biological process in real-time in the same animal.
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Affiliation(s)
- Jack Leslie
- Newcastle Fibrosis Research Group, Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Stuart M Robinson
- Newcastle Fibrosis Research Group, Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
- Department of Hepatobiliary Surgery, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Fiona Oakley
- Newcastle Fibrosis Research Group, Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Saimir Luli
- Newcastle Fibrosis Research Group, Faculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
- Faculty of Medical Sciences, Preclinical In Vivo Imaging, Biosciences Institute, Newcastle University, 4th Floor, William Leech Building, Framlington Place, Newcastle upon Tyne, NE2 4HH, UK.
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8
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Salerno EV, Eliseeva SV, Schneider BL, Kampf JW, Petoud S, Pecoraro VL. Visible, Near-Infrared, and Dual-Range Luminescence Spanning the 4f Series Sensitized by a Gallium(III)/Lanthanide(III) Metallacrown Structure. J Phys Chem A 2020; 124:10550-10564. [DOI: 10.1021/acs.jpca.0c08819] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Elvin V. Salerno
- Department of Chemistry, Willard H. Dow Laboratories, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Svetlana V. Eliseeva
- Centre de Biophysique Moléculaire, CNRS UPR 4301, F-45071, Orleans Cedex 2, France
| | - Bernadette L. Schneider
- Department of Chemistry, Willard H. Dow Laboratories, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Jeff W. Kampf
- Department of Chemistry, Willard H. Dow Laboratories, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Stéphane Petoud
- Centre de Biophysique Moléculaire, CNRS UPR 4301, F-45071, Orleans Cedex 2, France
| | - Vincent L. Pecoraro
- Department of Chemistry, Willard H. Dow Laboratories, University of Michigan, Ann Arbor, Michigan 48109, United States
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9
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Polarizer-Free AOTF-Based SWIR Hyperspectral Imaging for Biomedical Applications. SENSORS 2020; 20:s20164439. [PMID: 32784512 PMCID: PMC7472359 DOI: 10.3390/s20164439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/31/2020] [Accepted: 08/04/2020] [Indexed: 02/06/2023]
Abstract
Optical biomedical imaging in short wave infrared (SWIR) range within 0.9–1.7 μm is a rapidly developing technique. For this reason, there is an increasing interest in cost-effective and robust hardware for hyperspectral imaging data acquisition in this range. Tunable-filter-based solutions are of particular interest as they provide image processing flexibility and effectiveness in terms of collected data volume. Acousto-optical tunable filters (AOTFs) provide a unique set of features necessary for high-quality SWIR hyperspectral imaging. In this paper, we discuss a polarizer-free configuration of an imaging AOTF that provides a compact and easy-to-integrate design of the whole imager. We have carried out image quality analysis of this system, assembled it and validated its efficiency through multiple experiments. The developed system can be helpful in many hyperspectral applications including biomedical analyses.
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10
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Xu J, Zhou J, Chen Y, Yang P, Lin J. Lanthanide-activated nanoconstructs for optical multiplexing. Coord Chem Rev 2020. [DOI: 10.1016/j.ccr.2020.213328] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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11
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Vretik LO, Noskov YV, Ogurtsov NA, Nikolaeva OA, Shevchenko AV, Marynin AI, Kharchuk MS, Chepurna OM, Ohulchanskyy TY, Pud AA. Thermosensitive ternary core–shell nanocomposites of polystyrene, poly(N-isopropylacrylamide) and polyaniline. APPLIED NANOSCIENCE 2020. [DOI: 10.1007/s13204-020-01424-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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12
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Wang D, Xue B, Ohulchanskyy TY, Liu Y, Yakovliev A, Ziniuk R, Xu M, Song J, Qu J, Yuan Z. Inhibiting tumor oxygen metabolism and simultaneously generating oxygen by intelligent upconversion nanotherapeutics for enhanced photodynamic therapy. Biomaterials 2020; 251:120088. [PMID: 32388167 DOI: 10.1016/j.biomaterials.2020.120088] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2020] [Revised: 04/29/2020] [Accepted: 04/30/2020] [Indexed: 02/01/2023]
Abstract
Hypoxia is one of the hallmarks of solid tumor, which heavily restricts the clinical cancer therapy treatments, especially for the oxygen (O2) -dependent photodynamic therapy (PDT). Herein, an intelligent multi-layer nanostructure was developed for decreasing the O2-consumption and elevating the O2-supply simultaneously. The cell respiration inhibitor -atovaquone (ATO) molecules were reserved in the middle mesoporous silicon layer, and thus were intelligently released at the tumor site after the degradation of gatekeeper of MnO2 layer, which effectively inhibit tumor respiration metabolism to elevate oxygen content. Meanwhile, the degradation of MnO2 layer can generate O2, further boosting oxygen content. Moreover, the inner upconversion nanostructures as the near infrared (NIR) light-transducers enable to activate photosensitizers for deep-tissue PDT. Systematic experiments demonstrate that this suppressing O2-consumption and O2-generation strategy improved oxygen supply to boost the singlet oxygen generation to eradicate cancer cells under NIR light excitation. Better still, superior trimodality imaging capabilities (computed tomography (CT), NIR-II window fluorescence, and tumor microenvironment-responsive T1-weighted magnetic resonance (MR) imaging) of the nanoplatform were evaluated. Our findings offer a promising aproach to conquer the serious hypoxia problem in cancer therapy by turning down the O2 metabolism aveneue and simultaneously generating O2.
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Affiliation(s)
- Dan Wang
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China; College of Information Engineering, Shenzhen University, Shenzhen, 518060, China; Cancer Centre, Faculty of Health Sciences, University of Macau, Macao, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao, China
| | - Bin Xue
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China; Cancer Centre, Faculty of Health Sciences, University of Macau, Macao, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao, China
| | - Tymish Y Ohulchanskyy
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Yubin Liu
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macao, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao, China
| | - Artem Yakovliev
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Roman Ziniuk
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China
| | - Mengze Xu
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macao, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao, China
| | - Jun Song
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
| | - Junle Qu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China.
| | - Zhen Yuan
- Cancer Centre, Faculty of Health Sciences, University of Macau, Macao, China; Centre for Cognitive and Brain Sciences, University of Macau, Macao, China.
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Shen Y, Lifante J, Fernández N, Jaque D, Ximendes E. In Vivo Spectral Distortions of Infrared Luminescent Nanothermometers Compromise Their Reliability. ACS NANO 2020; 14:4122-4133. [PMID: 32227917 DOI: 10.1021/acsnano.9b08824] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Luminescence nanothermometry has emerged over the past decade as an exciting field of research due to its potential applications where conventional methods have demonstrated to be ineffective. Preclinical research has been one of the areas that have benefited the most from the innovations proposed in the field. Nevertheless, certain questions concerning the reliability of the technique under in vivo conditions have been continuously overlooked by most of the scientific community. In this proof-of-concept, hyperspectral in vivo imaging is used to explain how unverified assumptions about the thermal dependence of the optical transmittance of biological tissues in the so-called biological windows can lead to erroneous measurements of temperature. Furthermore, the natural steps that should be taken in the future for a reliable in vivo luminescence nanothermometry are discussed together with a perspective view of the field after the findings here reported.
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Affiliation(s)
- Yingli Shen
- Fluorescence Imaging Group, Departamento de Fı́sica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid 28049, Spain
| | - José Lifante
- Fluorescence Imaging Group, Departamento de Fisiologı́a, Facultad de Medicina, Universidad Autónoma de Madrid, Avda. Arzobispo Morcillo 2, Madrid 28029, Spain
- Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, IRYCIS, Ctra. Colmenar km. 9.100, Madrid 28034, Spain
| | - Nuria Fernández
- Fluorescence Imaging Group, Departamento de Fisiologı́a, Facultad de Medicina, Universidad Autónoma de Madrid, Avda. Arzobispo Morcillo 2, Madrid 28029, Spain
- Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, IRYCIS, Ctra. Colmenar km. 9.100, Madrid 28034, Spain
| | - Daniel Jaque
- Fluorescence Imaging Group, Departamento de Fı́sica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid 28049, Spain
- Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, IRYCIS, Ctra. Colmenar km. 9.100, Madrid 28034, Spain
| | - Erving Ximendes
- Fluorescence Imaging Group, Departamento de Fı́sica de Materiales, Facultad de Ciencias, Universidad Autónoma de Madrid, C/Francisco Tomás y Valiente 7, Madrid 28049, Spain
- Nanobiology Group, Instituto Ramón y Cajal de Investigación Sanitaria, IRYCIS, Ctra. Colmenar km. 9.100, Madrid 28034, Spain
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14
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Chepurna OM, Yakovliev A, Ziniuk R, Nikolaeva OA, Levchenko SM, Xu H, Losytskyy MY, Bricks JL, Slominskii YL, Vretik LO, Qu J, Ohulchanskyy TY. Core-shell polymeric nanoparticles co-loaded with photosensitizer and organic dye for photodynamic therapy guided by fluorescence imaging in near and short-wave infrared spectral regions. J Nanobiotechnology 2020; 18:19. [PMID: 31973717 PMCID: PMC6979398 DOI: 10.1186/s12951-020-0572-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/07/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Biodistribution of photosensitizer (PS) in photodynamic therapy (PDT) can be assessed by fluorescence imaging that visualizes the accumulation of PS in malignant tissue prior to PDT. At the same time, excitation of the PS during an assessment of its biodistribution results in premature photobleaching and can cause toxicity to healthy tissues. Combination of PS with a separate fluorescent moiety, which can be excited apart from PS activation, provides a possibility for fluorescence imaging (FI) guided delivery of PS to cancer site, followed by PDT. RESULTS In this work, we report nanoformulations (NFs) of core-shell polymeric nanoparticles (NPs) co-loaded with PS [2-(1-hexyloxyethyl)-2-devinyl pyropheophorbide-a, HPPH] and near infrared fluorescent organic dyes (NIRFDs) that can be excited in the first or second near-infrared windows of tissue optical transparency (NIR-I, ~ 700-950 nm and NIR-II, ~ 1000-1350 nm), where HPPH does not absorb and emit. After addition to nanoparticle suspensions, PS and NIRFDs are entrapped by the nanoparticle shell of co-polymer of N-isopropylacrylamide and acrylamide [poly(NIPAM-co-AA)], while do not bind with the polystyrene (polySt) core alone. Loading of the NIRFD and PS to the NPs shell precludes aggregation of these hydrophobic molecules in water, preventing fluorescence quenching and reduction of singlet oxygen generation. Moreover, shift of the absorption of NIRFD to longer wavelengths was found to strongly reduce an efficiency of the electronic excitation energy transfer between PS and NIRFD, increasing the efficacy of PDT with PS-NIRFD combination. As a result, use of the NFs of PS and NIR-II NIRFD enables fluorescence imaging guided PDT, as it was shown by confocal microscopy and PDT of the cancer cells in vitro. In vivo studies with subcutaneously tumored mice demonstrated a possibility to image biodistribution of tumor targeted NFs both using HPPH fluorescence with conventional imaging camera sensitive in visible and NIR-I ranges (~ 400-750 nm) and imaging camera for short-wave infrared (SWIR) region (~ 1000-1700 nm), which was recently shown to be beneficial for in vivo optical imaging. CONCLUSIONS A combination of PS with fluorescence in visible and NIR-I spectral ranges and, NIR-II fluorescent dye allowed us to obtain PS nanoformulation promising for see-and-treat PDT guided with visible-NIR-SWIR fluorescence imaging.
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Affiliation(s)
- O M Chepurna
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - A Yakovliev
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - R Ziniuk
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - O A Nikolaeva
- Taras Shevchenko National University of Kyiv, Kyiv, 01601, Ukraine
| | - S M Levchenko
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - H Xu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China
| | - M Y Losytskyy
- Taras Shevchenko National University of Kyiv, Kyiv, 01601, Ukraine
| | - J L Bricks
- Institute of Organic Chemistry, National Academy of Sciences of Ukraine, Kyiv, 02094, Ukraine
| | - Yu L Slominskii
- Institute of Organic Chemistry, National Academy of Sciences of Ukraine, Kyiv, 02094, Ukraine
| | - L O Vretik
- Taras Shevchenko National University of Kyiv, Kyiv, 01601, Ukraine.
| | - J Qu
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
| | - T Y Ohulchanskyy
- Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
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