{"title":"Optical spectroscopy and imaging in surgical management of cancer patients","authors":"B. Wilson, D. Eu","doi":"10.1002/tbio.202100009","DOIUrl":"https://doi.org/10.1002/tbio.202100009","url":null,"abstract":"Surgery is a pillar of cancer management, the general goal being complete removal of solid tumor tissue with minimal damage to normal tissue structure and function. Optical imaging and spectroscopy may contribute to this at several points in the procedural chain, including preoperative tumor localization and staging by biopsy, intra/perioperative identification and localization of tumor margins, detection of residual tumor tissue and tumor‐involved lymph nodes as well as critical normal tissue structures, and assessment of the viability of reconstructed tissues following tumor resection. The numerous optical modalities that can be implemented clinically are discussed, a few of which are already in clinical practice and many more are in clinical trials. These modalities utilize different light‐tissue interactions and technical approaches. The resulting biological information obtained, the current or potential clinical impact, limitations and potential future developments and roles are considered. This article is intended to inform the biophotonics community of the clinical needs and scientific/technical challenges and opportunities in photonics‐enabled surgical guidance and to guide potential surgical users on the potential advantages and limitations in this rapidly evolving landscape.","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46210939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel photonic methods for diagnosis of SARS-CoV-2 infection.","authors":"Naveen Joshi, Shubhangi Shukla, Roger J Narayan","doi":"10.1002/tbio.202200001","DOIUrl":"10.1002/tbio.202200001","url":null,"abstract":"<p><p>The COVID-19 pandemic that began in March 2020 continues in many countries. The ongoing pandemic makes early diagnosis a crucial part of efforts to prevent the spread of SARS-CoV-2 infections. As such, the development of a rapid, reliable, and low-cost technique with increased sensitivity for detection of SARS-CoV-2 is an important priority of the scientific community. At present, nucleic acid-based techniques are primarily used as the reference approach for the detection of SARS-CoV-2 infection. However, in several cases, false positive results have been observed with these techniques. Due to the drawbacks associated with existing techniques, the development of new techniques for the diagnosis of COVID-19 is an important research activity. We provide an overview of novel diagnostic methods for SARS-CoV-2 diagnosis that integrate photonic technology with artificial intelligence. Recent developments in emerging diagnostic techniques based on the principles of advanced molecular spectroscopy and microscopy are considered.</p>","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":" ","pages":"e202200001"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9111306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43621123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anuradha Ramoji, S. Pahlow, Aikaterini Pistiki, J. Rueger, T. Shaik, Haodong Shen, Christina Wichmann, C. Krafft, J. Popp
{"title":"Understanding viruses and viral infections by biophotonic methods","authors":"Anuradha Ramoji, S. Pahlow, Aikaterini Pistiki, J. Rueger, T. Shaik, Haodong Shen, Christina Wichmann, C. Krafft, J. Popp","doi":"10.1002/tbio.202100008","DOIUrl":"https://doi.org/10.1002/tbio.202100008","url":null,"abstract":"In the last few decades outbreaks of viral infections have often challenged the world‐wide health infrastructure and caused a significant financial burden as well as human suffering despite progress in diagnostic technologies. The recent outbreaks of the Ebola virus in the African continent, the Zika virus in the American continent, severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), influenza A and lately severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) viral infections have repeatedly highlighted the importance of technological advancement enabling a better understanding of virions. In this review, we systematically discuss different aspects of virions and how their properties and functions can be studied using different light‐based technologies. We focus on virion classification, detection and interactions with the host's immune system. Further, the potential of advanced biophotonic methods, for example, Raman, infrared reflection, absorption and fluorescence spectroscopy, advanced microscopic techniques and biosensor‐based approaches for diagnosing viral infections, investigating therapeutics and vaccine development are described. Although significant advancements have already been made in photonic technologies, which even enable visualizing virion‐host interactions on single‐cell level, the continuous evolution of viruses demands further progress in biophotonic solutions for fast, affordable and robust health monitoring devices for screening viral infections.","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49169513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Rank, Anja Agneter, T. Schmoll, R. Leitgeb, W. Drexler
{"title":"Miniaturizing optical coherence tomography","authors":"E. Rank, Anja Agneter, T. Schmoll, R. Leitgeb, W. Drexler","doi":"10.1002/tbio.202100007","DOIUrl":"https://doi.org/10.1002/tbio.202100007","url":null,"abstract":"Optical coherence tomography (OCT) has revolutionized ophthalmic diagnosis as a non‐invasive, cross‐sectional imaging technique in the last 30 years and hence is one of the fastest adopted advanced imaging technologies in the history of medicine. A miniaturization of OCT devices would not only reduce size but ideally also reduce costs and therefore create potential new markets. OCT systems based on photonic integrated circuits (PIC) could enable a significant miniaturization of complex systems with high degree of integration as well as low costs of goods. These therefore have a potential to enable portable, cost‐effective, high performing, real handheld OCT devices. This review identifies three main categories towards miniaturized OCT devices: Handheld imaging probes interfaced to a (mobile) base station, compact home/self‐ OCT and PIC‐based OCT. Imaging performance parameters and technical readiness levels of the identified miniaturized OCT systems for (non‐) ophthalmic applications are presented. Special attention is paid to PIC‐based OCT applications and their progress.","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43854330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reversal of Stem Cell‐derived Hypertrophic Adipocytes Mediated by Photobiomodulation (1064 nm)","authors":"Andrew R McColloch, Hanli Liu, Michael Cho","doi":"10.1002/tbio.202100006","DOIUrl":"https://doi.org/10.1002/tbio.202100006","url":null,"abstract":"","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43520517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abigail Keogan, T. N. Q. Nguyen, J. Phelan, N. O'Farrell, N. Lynam‐Lennon, B. Doyle, D. O’Toole, J. Reynolds, J. O’Sullivan, A. Meade
{"title":"Chemical imaging and machine learning for sub‐classification of oesophageal tissue histology","authors":"Abigail Keogan, T. N. Q. Nguyen, J. Phelan, N. O'Farrell, N. Lynam‐Lennon, B. Doyle, D. O’Toole, J. Reynolds, J. O’Sullivan, A. Meade","doi":"10.1002/tbio.202100004","DOIUrl":"https://doi.org/10.1002/tbio.202100004","url":null,"abstract":"","PeriodicalId":75242,"journal":{"name":"Translational biophotonics","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/tbio.202100004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48089988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}