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What is biophotonics?
Interdisciplinary field that combines photonics and biology
What does it utilise?
Tools and techniques based on the properties of light to image, diagnose and treat living organisms
At the molecular, cellular and tissue level
Photons
Light exhibits wavelike properties
What happens when photons interact with matter?
They can be absorbed, scattered or allowed to pass through
What do tissues absorb, scatter and fluoresce?
Light
Differently based on their biochemical makeup
What can provide optic signatures from specific light wavelengths?
Haemoglobin
Water
Lipids
DNA/RNA
What can be used to selectively tag molecules of interest to study cellular processes?
Fluorescent probes can be used to selectively tag molecules
What can provide high resolution structural and functional imaging of tissues?
Microscopy
Endoscopy
OCT (Optical coherence tomography)
What does spectroscopy measure?
Absorption/scattering spectra to detect diseases like cancer through biochemical changes
Photoacoustic/thermographic Imaging
Fuses optical and ultrasound contrast for anatomical and physiological visualisation
What can photodynamic therapy be used for?
Light activated drugs to selectively destroy cancerous cells
What can low level laser therapy be used for?
Employs light to accelerate tissue repair processes
Optogenetics
Control neuronal activity with high spatiotemporal precision using light-sensitive proteins
Strengths of Fluorescence Imaging
-High sensitivity and specificity=molecular targeting with fluorescent probes
-Versatile multicolour imaging enables visualisation of multiple biological entities
Limitations of Fluorescence Imaging
-Autofluorescence from intrinsic molecules can limit specificity
-Photobleaching limits time-lapse imaging
Strengths of Raman Spectroscopy
-Provides fingerprint molecular vibrational information without labels
-Can distinguish tissues based on molecular composition
Limitations of Raman Spectroscopy
-Weak Raman signals require long acquisition times
-Strong fluorescence interference degrades spectral features
Strengths of Optical Coherences Tomography (OCT)
-Non-invasive, label-free, high-resolution 3D imaging of inner tissue/organs
-Can quantify subtle morphological and physiological changes
Limitations of Optical Coherences Tomography (OCT)
-Small penetration depth limits accessibility to deeper tissues
-Backscattering from different depths degrade image contrast
Strengths of Photoacoustic imaging
-Combines high optical contrast and ultrasound resolution for functional imaging
-Sensitive to optical absorption providing molecular/cellular specificity
Limitations of Photoacoustic Imaging
-Diffuse optical scattering limits resolution and penetration depth
-Artefacts from acoustic heterogeneities and phase aberrations
What does Optical biopsy via fluorescence, Raman and IR spectroscopies detect?
Disease biomarkers in tissues for cancer, atherosclerosis etc diagnosis
What does fiberoptic endomicroscopy facilitate?
In vivo histopathology of internal surfaces during clinical examinations
What does OCT (Optical coherence tomography) aid?
High resolution imaging of retina, skin lesions for disease screening and longitudinal studies
What does photoacoustic tomography visualise?
Vasculature
Monitors angiogenesis
Treatment response non-invasively
What can fluorescence imaging help guide?
Procedures to visualise tumours, sentinel lymph nodes with molecular specificity intraoperatively
What is the role Raman imaging in cancer?
Identifies margins for complete tumour resection in real time
What does photoacoustic monitor in terms of treatment?
Evaluate tumour oxygenation, hemodynamic during photodynamic/radiation therapies
How does Raman spectroscopy assess treatment?
Induced biochemical changes in tissues
What can spectroscopic techniques detect?
Pre-malignant changes
Increases chance of effective interventions
What does quantifying structural changes from fluorescence/OCT images detect?
Angiogenesis
Calcification
Alterations in cellularity
What does analysis of spectroscopic peaks/bands correspond to?
Biomolecules to identify compositional changes
Can apply multvariate tools for sample classification and disease prediction
What do fluorescence/Raman profiles provide?
Molecular fingerprints to detect tumour metabolites and assess redox states
Biomolecular analysis of the extracellular matrix
Remodelling of extracellular matrix
Drug distribution at subcellular scales
What can multimodal imaging/spectroscopy capture?
Physiological disturbance to understand molecular underpinnings of disease
Reveal altered metabolic pathways, protein conformational changes associated with disease progression
What does serial imaging track?
Therapeutic responses by quantifying changes in vasculature, tissue oxygenation during therapies
What can be used to identify compositional/structural alterations induced by drugs?
Spectroscopy
Ethical use of biophotonics tools in clinical practice
Adhere to principles of beneficence, non-maleficience, autonomy and informed consent
Safety considerations of biophotonics
Comply with laser/radiation safety standards to protect patients and personnel
Implement optical dose limits and diagnostic reference levels
How can biophotonics be secure and confidential?
De-identify patient data and restrict access to authorised individuals
Encrypt electronic health records and use security protocols
Addressing inequitable access
Consider socioeconomic disparities in availability of advanced technologies
Promote accessibility in underserved regions via point of care devices
Regulatory approvals
FDA/EMA by demonstrating safety, efficacy for intended use
Perform rigorous validation and clinical trials
Informed consent and biophotonics
Provide opt-in choice regarding data sharing for research purposes
Disclose risks, benefits and alternatives to proposed interventions