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Guimarães CF, Cruz-Moreira D, Caballero D, Pirraco RP, Gasperini L, Kundu SC, Reis RL. Shining a Light on Cancer - Photonics in Microfluidic Tumor Modelling and Biosensing. Adv Healthc Mater 2022:e2201442. [PMID: 35998112 DOI: 10.1002/adhm.202201442] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/03/2022] [Indexed: 11/08/2022]
Abstract
Microfluidic platforms represent a powerful approach to miniaturizing important characteristics of cancers, improving in vitro testing by increasing physiological relevance. Different tools can manipulate cells and materials at the microscale, but few offer the efficiency and versatility of light and optical technologies. Moreover, light-driven technologies englobe a broad toolbox for quantifying critical biological phenomena. Herein, we review the role of photonics in microfluidic 3D cancer modeling and biosensing from three major perspectives. First, we look at optical-driven technologies that allow biomaterials and living cells to be manipulated with micro-sized precision and the opportunities to advance 3D microfluidic models by engineering cancer microenvironments' hallmarks, such as their architecture, cellular complexity, and vascularization. Second, we delve into the growing field of optofluidics, exploring how optical tools can directly interface microfluidic chips, enabling the extraction of relevant biological data, from single fluorescent signals to the complete 3D imaging of diseased cells within microchannels. Third, we review advances in optical cancer biosensing, focusing on how light-matter interactions can detect biomarkers, rare circulating tumor cells, and cell-derived structures such as exosomes. We overview photonic technologies' current challenges and caveats in microfluidic 3D cancer models, outlining future research avenues that may catapult the field. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Carlos F Guimarães
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Daniela Cruz-Moreira
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - David Caballero
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Rogério P Pirraco
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Luca Gasperini
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Subhas C Kundu
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
| | - Rui L Reis
- 3B's Research Group -Biomaterials, Biodegradables and Biomimetics, Headquarters of the European Institute of Excellence on Tissue Engineering and Regenerative Medicine, University of Minho, AvePark, Parque de Ciência e Tecnologia, Barco, Guimarães, 4805-017, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga and Guimarães, Portugal
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Ochoa M, Algorri JF, Roldán-Varona P, Rodríguez-Cobo L, López-Higuera JM. Recent Advances in Biomedical Photonic Sensors: A Focus on Optical-Fibre-Based Sensing. SENSORS (BASEL, SWITZERLAND) 2021; 21:6469. [PMID: 34640788 PMCID: PMC8513032 DOI: 10.3390/s21196469] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 09/21/2021] [Accepted: 09/23/2021] [Indexed: 01/22/2023]
Abstract
In this invited review, we provide an overview of the recent advances in biomedical photonic sensors within the last five years. This review is focused on works using optical-fibre technology, employing diverse optical fibres, sensing techniques, and configurations applied in several medical fields. We identified technical innovations and advancements with increased implementations of optical-fibre sensors, multiparameter sensors, and control systems in real applications. Examples of outstanding optical-fibre sensor performances for physical and biochemical parameters are covered, including diverse sensing strategies and fibre-optical probes for integration into medical instruments such as catheters, needles, or endoscopes.
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Affiliation(s)
- Mario Ochoa
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
| | - José Francisco Algorri
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
| | - Pablo Roldán-Varona
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
- CIBER-bbn, Institute of Health Carlos III, 28029 Madrid, Spain;
| | | | - José Miguel López-Higuera
- Photonics Engineering Group, University of Cantabria, 39005 Santander, Spain; (J.F.A.); (P.R.-V.)
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Spain
- CIBER-bbn, Institute of Health Carlos III, 28029 Madrid, Spain;
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Particle Classification through the Analysis of the Forward Scattered Signal in Optical Tweezers. SENSORS 2021; 21:s21186181. [PMID: 34577401 PMCID: PMC8470432 DOI: 10.3390/s21186181] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 11/17/2022]
Abstract
The ability to select, isolate, and manipulate micron-sized particles or small clusters has made optical tweezers one of the emergent tools for modern biotechnology. In conventional setups, the classification of the trapped specimen is usually achieved through the acquired image, the scattered signal, or additional information such as Raman spectroscopy. In this work, we propose a solution that uses the temporal data signal from the scattering process of the trapping laser, acquired with a quadrant photodetector. Our methodology rests on a pre-processing strategy that combines Fourier transform and principal component analysis to reduce the dimension of the data and perform relevant feature extraction. Testing a wide range of standard machine learning algorithms, it is shown that this methodology allows achieving accuracy performances around 90%, validating the concept of using the temporal dynamics of the scattering signal for the classification task. Achieved with 500 millisecond signals and leveraging on methods of low computational footprint, the results presented pave the way for the deployment of alternative and faster classification methodologies in optical trapping technologies.
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Faria SP, Carpinteiro C, Pinto V, Rodrigues SM, Alves J, Marques F, Lourenço M, Santos PH, Ramos A, Cardoso MJ, Guimarães JT, Rocha S, Sampaio P, Clifton DA, Mumtaz M, Paiva JS. Forecasting COVID-19 Severity by Intelligent Optical Fingerprinting of Blood Samples. Diagnostics (Basel) 2021; 11:diagnostics11081309. [PMID: 34441244 PMCID: PMC8392709 DOI: 10.3390/diagnostics11081309] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 07/14/2021] [Accepted: 07/19/2021] [Indexed: 01/08/2023] Open
Abstract
Forecasting COVID-19 disease severity is key to supporting clinical decision making and assisting resource allocation, particularly in intensive care units (ICUs). Here, we investigated the utility of time- and frequency-related features of the backscattered signal of serum patient samples to predict COVID-19 disease severity immediately after diagnosis. ICU admission was the primary outcome used to define disease severity. We developed a stacking ensemble machine learning model including the backscattered signal features (optical fingerprint), patient comorbidities, and age (AUROC = 0.80), which significantly outperformed the predictive value of clinical and laboratory variables available at hospital admission (AUROC = 0.71). The information derived from patient optical fingerprints was not strongly correlated with any clinical/laboratory variable, suggesting that optical fingerprinting brings unique information for COVID-19 severity risk assessment. Optical fingerprinting is a label-free, real-time, and low-cost technology that can be easily integrated as a front-line tool to facilitate the triage and clinical management of COVID-19 patients.
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Affiliation(s)
- Simão P. Faria
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Cristiana Carpinteiro
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Vanessa Pinto
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Sandra M. Rodrigues
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - José Alves
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Filipe Marques
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Marta Lourenço
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Paulo H. Santos
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Angélica Ramos
- Serviço de Patologia Clínica, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal; (A.R.); (M.J.C.)
- EPIUnit—Instituto de Saúde Pública da Universidade do Porto, 4050-600 Porto, Portugal
| | - Maria J. Cardoso
- Serviço de Patologia Clínica, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal; (A.R.); (M.J.C.)
- EPIUnit—Instituto de Saúde Pública da Universidade do Porto, 4050-600 Porto, Portugal
| | - João T. Guimarães
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
- Serviço de Patologia Clínica, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal; (A.R.); (M.J.C.)
- EPIUnit—Instituto de Saúde Pública da Universidade do Porto, 4050-600 Porto, Portugal
| | - Sara Rocha
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Paula Sampaio
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- IBMC—Instituto de Biologia Molecular e Celular, Universidade do Porto, 4200-135 Porto, Portugal
| | - David A. Clifton
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK;
| | - Mehak Mumtaz
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
| | - Joana S. Paiva
- iLoF—Intelligent Lab on Fiber, Limited, Oxford OX1 2EW, UK; (S.P.F.); (C.C.); (V.P.); (S.M.R.); (J.A.); (F.M.); (M.L.); (P.H.S.); (S.R.); (P.S.); (M.M.)
- Departamento de Bioquímica, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal;
- Instituto de Ciências Biomédicas Abel Salazar, University of Porto, 4200-319 Porto, Portugal
- Correspondence:
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