Vibrational spectroscopies, based on infrared absorption and/or Raman scattering provide a detailed fingerprint of a material, based on the chemical content. Diagnostic and prognostic tools based on these technologies have the potential to revolutionise our clinical systems leading to improved patient outcome, more efficient public services and significant economic savings. However, despite these strong drivers, there are many fundamental scientific and technological challenges which have limited the implementation of this technology in the clinical arena, although recent years have seen significant progress in addressing these challenges. This review examines (i) the state of the art of clinical applications of infrared absorption and Raman spectroscopy, and (ii) the outstanding challenges, and progress towards translation, highlighting specific examples in the areas of in vivo, ex vivo and in vitro applications. In addition, the requirements of instrumentation suitable for use in the clinic, strategies for pre-processing and statistical analysis in clinical spectroscopy and data sharing protocols, will be discussed. Emerging consensus recommendations are presented, and the future perspectives of the field are assessed, particularly in the context of national and international collaborative research initiatives, such as the UK EPSRC Clinical Infrared and Raman Spectroscopy Network, the EU COST Action Raman4Clinics, and the International Society for Clinical Spectroscopy.

/pdf/clinical-applications-of-infrared-and-raman-spectroscopy-2b6zvsp1if.pdf

Clinical applications of infrared and Raman spectroscopy: state of play and future challenges

INTRODUCTION: Complete tumour removal during surgery is one of the primary factors for recurrence-free survival. The current process is unable to accurately identify tumour margins and data feedback takes too long for responsive action during surgery. Our recent study has shown the ability of Raman spectroscopy to distinguish between metastatic brain, GBM and normal brain tissue to sensitivities and specificities ranging from 85.71% to 100%. Pushing this result towards the clinic needs an assessment of the data feedback. In a surgery situation, audio feedback of tumour margins would provide a real time response allowing the surgeons visual focus to remain on the patient.Auditory perception of complex, structured information could have several advantages when compared to visual images including the capability of the human ear to detect patterns, recognise timbres and follow different strands at the same time. METHOD: Our method consists of two phases, to compute the relevant variables, we apply feature extraction to the data, extracting band-wise spectral shape descriptors such as centroid, skew and kurtosis. These are then used to modulate parameters of a synthesizer. RESULTS: The method was applied to a dataset of 311 samples, 136 from an uncontrolled and 176 from a controlled group. Based on subjective listening tests taken from around 20 participants, we were able to get manual classification accuracies of up to 83%, using a multi-stimulus technique. CONCLUSION: Raman spectroscopy is able to accurately distinguish between cancerous and non-cancerous tissue. The development of novel data extraction tools has enabled audio feedback of these molecular differences in real time allowing the surgeons visual focus to remain on the patient.

Op31the sound of science: developing the spectral light orchestra

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

A. Brodbelt

Author Tools

Chat about Author

Papers

Op31the sound of science: developing the spectral light orchestra