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Spectral Imaging In a Snapshot. Andrew R Harvey *, David W Fletcher-Holmes, Alistair Gorman School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, UK Kirsten Altenbach, Jochen Arlt and Nick D Read COSMIC, The University of Edinburgh, Edinburgh, UK
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Spectral Imaging In a Snapshot Andrew R Harvey*, David W Fletcher-Holmes, Alistair Gorman School of Engineering and Physical Sciences, Heriot Watt University, Edinburgh, UK Kirsten Altenbach, Jochen Arlt and Nick D Read COSMIC, The University of Edinburgh, Edinburgh, UK *a.r.harvey@hw.ac.uk
Presentation outline • Why another spectral imaging technique? • IRIS:image replication imaging spectrometry • Design issues • Example applications • Retinal imaging • Microscopy • Conclusions
Why another spectral imaging technique? • Traditional approaches • Time sequential spectral multiplex • Monochromatic two-dimensional image in snapshot • Time sequential spatial multiplex • One-dimensional spectral image in a snapshot • (and Fourier-transform equivalents) • Problems • Cannot record two-dimensional spectral images of time-varying scenes • Optically inefficient • Time-resolved (snapshot) spectral imaging is required for • Dynamic scenes • In vitro, in vivo imaging and microsocopy • Combustion dynamics, surveillance… • Irregular motion between scene and imager • In vivo imaging • Ophthalmology • Remote sensing, airborne surveillance, industrial inspection…
Spectral retinal Imaging Diabetic Retina Normal Retina • By 2020 there will be 200 million visually-impaired people world wide • Glaucoma, diabetic retinopathy, ARMD • 80% of those cases are preventable or treatable • Screening and early detection are crucial • Spectral imaging provides a non-invasive route to monitoring retinal biochemistry • Blood oximetry, lipofuscin accumulation
Requirements for a snapshot technique: retinal imaging PC15 • Improved calibration • Patient patience • Remove misregistration artefacts; imperfect coregistration arises due to • Distortion of eye ball with pulse • Variations in imaging distortion between images • Similar issues with other in vivo applications • Imaging epithelial cancers
Image Replication Imaging Spectrometer:IRIS F F F F F F F F F • Snapshot image • zero temporal misregistration • ‘100%’ optical efficiency • Conceptually related to Lyot filter Large format detector Spectral Demultiplexor
Lyot filter: principle of operation Waveplate Polariser
IRIS snapshot spectral imager: • Wollaston prism polarisers replicate images • Each Wollaston prism-waveplate pair provides both cos2 and sin2 responses • All possible products of spectral responses are formed at detector
Spectral responses • 32 channel, visible-band system • 520nm 720nm • 5 Quartz retarders • 8 channel visible-band system • 520nm820m • 3 Quartz retarders • Bands are overlapping bell shapes • Choose cost function to minimise sidelobes • Small (~5%) reduction in spectral separation • Cut-off filters used to define spectral range
Optical scaling laws Polariser, retarders & Wollaston prisms (index matched) Field stop Camera Bandpass filter Imaging lens Collimating lens Primary lens Hamamatsu ORCA-ER Outputs: Field stop size Collimating lens rear element diameter Splitting angles, apertures & depths of prisms Apertures of retarders, polarisers and filters Imaging lens focal length & front element diameter Inputs: FoV Sub image size on CCD CCD pixel size Primary lens magnification & F# Collimating lens back focal distance, focal length & front element diameter Prism birefringence
Modelling and ray-tracing 50mm lenses 16mm lenses 35mm lenses 25mm lenses 15mm prisms 20mm prisms 25mm prisms 30mm prisms • 8 channel system
Components & Assembly • 8 channel system • 520nm to 820nm • 3 Quartz retarders • 3 Calcite Wollaston prisms
Absolute total transmission Absolute response curves in polarised light 50 Response (%) 25 0 • Bandpass filter & polariser dominate losses • Improved system: T>80% • Theoretical throughput is 2n times higher than for spatial/spectral multiplexed techniques!
Blood oximetry 40 20 • Optimal spectral band for retinal oximetry • Vessel thickness ~ optical depth • 570-615 nm • Eight bands approximately equally spaced
Spectral Retinal Imaging Canon CR4-45NM • Difficult imaging conditions render application of traditional HSI techniques problematic • IRIS enables real-time and snapshot spectral imaging
Video sequence recorded with bandpass filtered inspection lamp
574 581 592 585 607 595 603 613 Coregistered and PCA images PC1 & PC2 PC2 PC1
Application to microscopy:Imaging of multiple fluorophors • IRIS fitted to conventional epi-fluorescence microscope • Germinating spores of Neurospora crassa stained with • GFP – nucleii fluoresce at 510 nm • FM4-64 – membranes fluoresce at >580 nm 50 Response (%) 25 0
Conclusions • IRIS is a new spectral imaging technique that enables snapshot spectral imaging in 2D • No rejection of light • No data inversion • Highest-possible signal-to-noise ratios • Simple logistics • Inherently compact and robust • Simply fitted to conventional imaging systems • Birefringent materials exist for applications from 0.2m to 12 m • Applications • In vivo, in vitro imaging • Retinal imaging • Microscopy • Multiple fluorophors • Quantum dots • Surveillance • Remote sensing • Etc.