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Li J, Warren-Smith SC, McLaughlin RA, Ebendorff-Heidepriem H. Single-fiber probes for combined sensing and imaging in biological tissue: recent developments and prospects. BIOMEDICAL OPTICS EXPRESS 2024; 15:2392-2405. [PMID: 38633092 PMCID: PMC11019705 DOI: 10.1364/boe.517920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 04/19/2024]
Abstract
Single-fiber-based sensing and imaging probes enable the co-located and simultaneous observation and measurement (i.e., 'sense' and 'see') of intricate biological processes within deep anatomical structures. This innovation opens new opportunities for investigating complex physiological phenomena and potentially allows more accurate diagnosis and monitoring of disease. This prospective review starts with presenting recent studies of single-fiber-based probes for concurrent and co-located fluorescence-based sensing and imaging. Notwithstanding the successful initial demonstration of integrated sensing and imaging within single-fiber-based miniaturized devices, the realization of these devices with enhanced sensing sensitivity and imaging resolution poses notable challenges. These challenges, in turn, present opportunities for future research, including the design and fabrication of complex lens systems and fiber architectures, the integration of novel materials and other sensing and imaging techniques.
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Affiliation(s)
- Jiawen Li
- School of Electrical and Mechanical Engineering, The University of Adelaide, South Australia, 5005, Australia
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
| | - Stephen C. Warren-Smith
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
- Future Industries Institute, The University of South Australia, Mawson Lakes, South Australia, 5095, Australia
| | - Robert A. McLaughlin
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, South Australia, 5005, Australia
| | - Heike Ebendorff-Heidepriem
- Institute for Photonics and Advanced Sensing, The University of Adelaide, South Australia, 5005, Australia
- School of Physics, Chemistry and Earth Sciences, The University of Adelaide, South Australia, 5005, Australia
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Zhu Q, Yu H, Liang Z, Zhao W, Zhu M, Xu Y, Guo M, Jia Y, Zou C, Yang Z, Chen L. Novel image features of optical coherence tomography for pathological classification of lung cancer: Results from a prospective clinical trial. Front Oncol 2022; 12:870556. [PMID: 36338729 PMCID: PMC9634220 DOI: 10.3389/fonc.2022.870556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/27/2022] [Indexed: 12/24/2022] Open
Abstract
Background This study aimed to explore the characteristics of optical coherence tomography (OCT) imaging for differentiating between benign and malignant lesions and different pathological types of lung cancer in bronchial lesions and to preliminarily evaluate the clinical value of OCT. Methods Patients who underwent bronchoscopy biopsy and OCT between February 2019 and December 2019 at the Chinese PLA General Hospital were enrolled in this study. White-light bronchoscopy (WLB), auto-fluorescence bronchoscopy (AFB), and OCT were performed at the lesion location. The main characteristics of OCT imaging for the differentiation between benign and malignant lesions and the prediction of the pathological classification of lung cancer in bronchial lesions were identified, and their clinical value was evaluated. Results A total of 135 patients were included in this study. The accuracy of OCT imaging for differentiating between benign and malignant bronchial lesions was 94.1%, which was significantly higher than that of AFB (67.4%). For the OCT imaging of SCC, adenocarcinoma, and small-cell lung cancer, the accuracies were 95.6, 94.3, and 92%, respectively. The accuracy, sensitivity, and specificity of OCT were higher than those of WLB. In addition, these main OCT image characteristics are independent influencing factors for predicting the corresponding diseases through logistic regression analysis between the main OCT image characteristics in the study and the general clinical features of patients (p<0.05). Conclusion As a non-biopsy technique, OCT can be used to improve the diagnosis rate of lung cancer and promote the development of non-invasive histological biopsy.
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Affiliation(s)
- Qiang Zhu
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Hang Yu
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhixin Liang
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Wei Zhao
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Minghui Zhu
- Department of Pulmonary and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yi Xu
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Mingxue Guo
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Yanhong Jia
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Chenxi Zou
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhen Yang
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Zhen Yang, ; Liangan Chen,
| | - Liangan Chen
- Department of Respiratory Medicine, The First Medical Center of Chinese People Liberation Army (PLA) General Hospital, Beijing, China
- *Correspondence: Zhen Yang, ; Liangan Chen,
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Scolaro L, Lorenser D, Quirk BC, Kirk RW, Ho LA, Thomas E, Li J, Saunders CM, Sampson DD, Fuller RO, McLaughlin RA. Multimodal imaging needle combining optical coherence tomography and fluorescence for imaging of live breast cancer cells labeled with a fluorescent analog of tamoxifen. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:076004. [PMID: 35831923 PMCID: PMC9278982 DOI: 10.1117/1.jbo.27.7.076004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
SIGNIFICANCE Imaging needles consist of highly miniaturized focusing optics encased within a hypodermic needle. The needles may be inserted tens of millimeters into tissue and have the potential to visualize diseased cells well beyond the penetration depth of optical techniques applied externally. Multimodal imaging needles acquire multiple types of optical signals to differentiate cell types. However, their use has not previously been demonstrated with live cells. AIM We demonstrate the ability of a multimodal imaging needle to differentiate cell types through simultaneous optical coherence tomography (OCT) and fluorescence imaging. APPROACH We characterize the performance of a multimodal imaging needle. This is paired with a fluorescent analog of the therapeutic drug, tamoxifen, which enables cell-specific fluorescent labeling of estrogen receptor-positive (ER+) breast cancer cells. We perform simultaneous OCT and fluorescence in situ imaging on MCF-7 ER+ breast cancer cells and MDA-MB-231 ER- cells. Images are compared against unlabeled control samples and correlated with standard confocal microscopy images. RESULTS We establish the feasibility of imaging live cells with these miniaturized imaging probes by showing clear differentiation between cancerous cells. CONCLUSIONS Imaging needles have the potential to aid in the detection of specific cancer cells within solid tissue.
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Affiliation(s)
- Loretta Scolaro
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Dirk Lorenser
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Bryden C. Quirk
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Rodney W. Kirk
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
| | - Louisa A. Ho
- The University of Western Australia, School of Molecular Sciences, Crawley, Western Australia, Australia
| | - Elizabeth Thomas
- The University of Western Australia, Medical School, Division of Surgery, Nedlands, Western Australia, Australia
| | - Jiawen Li
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
- The University of Adelaide, School of Electrical and Electronic Engineering, Adelaide, South Australia, Australia
| | - Christobel M. Saunders
- The University of Western Australia, Medical School, Division of Surgery, Nedlands, Western Australia, Australia
- Fiona Stanley Hospital, Breast Centre, Murdoch, Western Australia, Australia
- Royal Perth Hospital, Breast Clinic, Perth, Western Australia, Australia
| | - David D. Sampson
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
- University of Surrey, School of Biosciences and Medicine, Surrey Biophotonics, Guildford, United Kingdom
- University of Surrey, Advanced Technology Institute, School of Physics, Surrey Biophotonics, Guildford, United Kingdom
| | - Rebecca O. Fuller
- The University of Western Australia, School of Molecular Sciences, Crawley, Western Australia, Australia
- University of Tasmania, School of Natural Sciences – Chemistry, Hobart, Tasmania, Australia
| | - Robert A. McLaughlin
- The University of Adelaide, Australian Research Council Centre of Excellence for Nanoscale Biophotonics, Faculty of Health and Medical Sciences, Adelaide, South Australia, Australia
- The University of Adelaide, Institute for Photonics and Advanced Sensing, Adelaide, South Australia, Australia
- The University of Western Australia, School of Engineering, Optical+Biomedical Engineering Laboratory, Crawley, Western Australia, Australia
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Kuo WC, Kao MC, Ting CK, Teng WN. Optical Coherence Tomography Needle Probe in Neuraxial Block Application. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS 2021; 27:1-6. [DOI: 10.1109/jstqe.2020.3042076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Wen-Chuan Kuo
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan
| | - Meng-Chun Kao
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan
| | - Chien-Kun Ting
- Department of Anesthesiology, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
| | - Wei-Nung Teng
- Department of Anesthesiology, Taipei Veterans General Hospital and National Yang-Ming University, Taipei, Taiwan
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