Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis

Advancements in robotic surgery help to improve the endoluminal diagnosis and treatment with minimally invasive or non-invasive intervention in a precise and safe manner. Miniaturized probe-based sensors can be used to obtain information about endoluminal anatomy, and they can be integrated with med...

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Main Authors: Cheng Zhou, Zecai Lin, Shaoping Huang, Bing Li, Anzhu Gao
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/12/11/943
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author Cheng Zhou
Zecai Lin
Shaoping Huang
Bing Li
Anzhu Gao
author_facet Cheng Zhou
Zecai Lin
Shaoping Huang
Bing Li
Anzhu Gao
author_sort Cheng Zhou
collection DOAJ
description Advancements in robotic surgery help to improve the endoluminal diagnosis and treatment with minimally invasive or non-invasive intervention in a precise and safe manner. Miniaturized probe-based sensors can be used to obtain information about endoluminal anatomy, and they can be integrated with medical robots to augment the convenience of robotic operations. The tremendous benefit of having this physiological information during the intervention has led to the development of a variety of in vivo sensing technologies over the past decades. In this paper, we review the probe-based sensing techniques for the in vivo physical and biochemical sensing in China in recent years, especially on in vivo force sensing, temperature sensing, optical coherence tomography/photoacoustic/ultrasound imaging, chemical sensing, and biomarker sensing.
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spelling doaj.art-28d6e8e346664052a74d56ce077769ac2023-11-24T03:54:46ZengMDPI AGBiosensors2079-63742022-10-01121194310.3390/bios12110943Progress in Probe-Based Sensing Techniques for In Vivo DiagnosisCheng Zhou0Zecai Lin1Shaoping Huang2Bing Li3Anzhu Gao4Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, ChinaInstitute for Materials Discovery, University College London, London WC1E 7JE, UKInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, ChinaAdvancements in robotic surgery help to improve the endoluminal diagnosis and treatment with minimally invasive or non-invasive intervention in a precise and safe manner. Miniaturized probe-based sensors can be used to obtain information about endoluminal anatomy, and they can be integrated with medical robots to augment the convenience of robotic operations. The tremendous benefit of having this physiological information during the intervention has led to the development of a variety of in vivo sensing technologies over the past decades. In this paper, we review the probe-based sensing techniques for the in vivo physical and biochemical sensing in China in recent years, especially on in vivo force sensing, temperature sensing, optical coherence tomography/photoacoustic/ultrasound imaging, chemical sensing, and biomarker sensing.https://www.mdpi.com/2079-6374/12/11/943minimally invasive surgeryendoluminal interventionphysical sensingbiochemical sensingin vivo diagnosis
spellingShingle Cheng Zhou
Zecai Lin
Shaoping Huang
Bing Li
Anzhu Gao
Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis
Biosensors
minimally invasive surgery
endoluminal intervention
physical sensing
biochemical sensing
in vivo diagnosis
title Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis
title_full Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis
title_fullStr Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis
title_full_unstemmed Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis
title_short Progress in Probe-Based Sensing Techniques for In Vivo Diagnosis
title_sort progress in probe based sensing techniques for in vivo diagnosis
topic minimally invasive surgery
endoluminal intervention
physical sensing
biochemical sensing
in vivo diagnosis
url https://www.mdpi.com/2079-6374/12/11/943
work_keys_str_mv AT chengzhou progressinprobebasedsensingtechniquesforinvivodiagnosis
AT zecailin progressinprobebasedsensingtechniquesforinvivodiagnosis
AT shaopinghuang progressinprobebasedsensingtechniquesforinvivodiagnosis
AT bingli progressinprobebasedsensingtechniquesforinvivodiagnosis
AT anzhugao progressinprobebasedsensingtechniquesforinvivodiagnosis