Biomedical Imaging Optical Imaging...Biomedical Imaging Optical Imaging Charles A. DiMarzio...
Transcript of Biomedical Imaging Optical Imaging...Biomedical Imaging Optical Imaging Charles A. DiMarzio...
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Biomedical Imaging
Optical Imaging
Charles A. DiMarzio
EECE–4649
Northeastern University
June 2019
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Optical Imaging
• Basics; µs, µa, n
• Optical Instruments: Lens Equation, Magnification
• Fourier Transform: NA, and more
• Sources and Detectors
• Microscopy
– Brightfield Microscopy
– Fluorescence
– Phase Contrast
– Confocal Microscopy
– Multi–Photon and Harmonic Microscopy
• Optical Coherence Tomography
• Diffusive Optical Tomography
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–1
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Waves Interactions
(and of course, emission)
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–2
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Skin OpticalProperties
400 450 500 550 600 650 700 750 80010
0
101
102
103
a(e)
s(e)
a(d)
s(d)
400 450 500 550 600 650 700 750 800
, Wavelength, nm
0.7
0.75
0.8
0.85
0.9
g(e)
g(d)
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–3
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Blood and Water
200 300 400 500 600 700 800 900 1000
,Wavelength, nm
10-4
10-3
10-2
10-1
100
101
102
103
104
a,
Ab
sorp
tio
n C
oef
f, /
cm
Oxy in Skin
Deoxy
Oxy in Blood
Deoxy
Water
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–4
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Light Penetration
• Best in Near–IR Window
• Ballistic to 100s of micrometers
• Diffuse to centimeters
• Except in the Eye
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–5
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Lenses
1s +
1s′= 1f m =
x′
x = −s′
s
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–6
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Optical FourierTransform
.
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–7
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2–D FourierTransform Pairs
A. Aperture B. Airy Function PSF
C. Gaussian Apodization D. Gaussian PSF
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–8
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Pupil as Low–PassFilter
A. Knife Edge Object B. Image Slices
C. Image with Aperture D. Image with Gaussian
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–9
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Resolution
• Transverse
fx =u
λ=
sin θ cos ζ
λMAX =
NA
λ
δ =λ
NA
• Axial
δz =λ
NA2
• Examples
NA = 0.95 λ = 500 nm → 526 nm fmax = 1900/mm
NA = 0.25 λ = 800 nm → 3.2 µm fmax = 312/mm
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–10
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Light Sources
• Tungsten Lamp (3200K)
• Quartz–Halogen–Tungsten Lamp (3500K - Melts at 3683K)
• Mercury Lamp (Some Useful Narrow Lines)
• Light–Emitting Diode (≈ 20 nm Linewidth)
• Laser (Pulsed, CW, Narrow, Strong Lines)
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–11
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Detectors
• Photon Detectors vs. Thermal Detectors
• Some Vacuum Photomultipliers
• Mostly Silicon Photon Detectors
• Arrays
– Slower
– Massively Parallel
– Pixel Size Choices (Resolution, Full Well, etc.)
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–12
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Early Microscopes
• Compound Microscope (Jansen, 1590)
• Simple Microscope (m=300) (Leeuwenhoek, early 1600s)
• Physiological Observation (Hooke 1665)
• Diffraction Theory (Abbe, 1860)
• Diffraction–Limited Imaging (Spencer, mid 1880s)
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–13
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Modern Microscopy
• What’s so Modern?
Microscopy has been around since 1590. . .
• . . . But a Lot Has Happened in the Last Few Decades
• Three Reasons why the Time is Right
– Illumination Sources (From Tungsten to Lasers, LEDs)
– Fast, Low–Cost Computers (and Cameras, etc.)
– Chemistry (Molecular Tags)
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–14
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Microscope Layout
Fourier Transform Between Field Planes and Pupil Planes
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–15
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Example
• 10X 0.25 Objective with Green Light
NA = 0.25 λ = 500 nm → 2 µm
• Resolution on Camera
2 µm× 10 = 20 µm
• Camera Pixel 5 micrometers
• Point–Spread Function Covers 4 Pixels
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–16
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Sampling with anArray
• Pixel Pitch vs. Pixel Size
• Pixel Pitch vs. Object Size
• Blurring
• Aliasing
• Nyquist
• Anti–Aliasing Filter
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–17
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Sampling Example
Keeping Nyquist Happy . . .
0 0.2 0.4 0.6 0.8 1
t, Time, sec
-1
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
V,
Vo
lta
ge,
Vo
lts
f = 10 Hz., fs = 333.3333Hz., = 0 Radians
0 0.2 0.4 0.6 0.8 1
t, Time, sec
-1
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
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1
V,
Vo
lta
ge,
Vo
lts
f = 10 Hz., fs = 33.3333Hz., = 0 Radians
. . . or Not
0 0.2 0.4 0.6 0.8 1
t, Time, sec
-1
-0.8
-0.6
-0.4
-0.2
0
0.2
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V,
Vo
lta
ge,
Vo
lts
f = 10 Hz., fs = 16.6667Hz., = 0 Radians
0 0.2 0.4 0.6 0.8 1
t, Time, sec
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-0.8
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-0.4
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0
0.2
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V,
Vo
lta
ge,
Vo
lts
f = 10 Hz., fs = 16.6667Hz., = 1 Radians
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–18
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Pathology Slide
Hematoxilyn (Blue) and Eosin (Red)
Milind Rajadhyaksha
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–19
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Wavelength–ChangingProcesses
Fluorescence 2–Photon Fluorescence Second Harmonic
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–20
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Fluorescence Imaging
Gal, OCT4, Dapihttp://www.mediacy.com/index.aspx?page=UManchester stemcellanalysis
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–21
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DIC and Phase
Epi–Fluorescence with Hoechst Dye, vs. DIC and OQM
Newmark Microscopy and Microanalysis, 2007
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–22
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Confocal Microscopy
Trans–Illumination Epi–Illumination (Usual)
Reflectance or Fluorescence
Adapted from Milind Rajadhyaksha
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–23
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2–Galvo System
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–24
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Polygon/GalvoSystem
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–25
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Brightfield Focusing
In–Focus Image Out–Of–Focus Image
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–26
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Confocal Focusing
Very High 145µm 150µm 155µm
160µm 165µm 170µm Very low
Judy Newmark (Warner Group), Bill Warger
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–27
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Normal Skin
CRM, Spinous Layer Basal Layer
H&E, Spinous Layer Basal Layer
Milind Rajadhyaksha
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–28
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Skin Cancers
CRM, Nodular BCC Infiltrative BCC
H&E, Nodular BCC Infiltrative BCC
Milind Rajadhyaksha
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–29
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Large 3–D Mosaics
.
Mouse Embryo at Day 9
Z–Stack from Confocal Reflectance Microscopy
−3µm 27µm 84µm 114µmSelected Sample Z Locations from Mosaic
3200 wide by 4800 high by 160 deep, Decimated for Display
Irina Larina (Baylor), Kirill Larin (Houston), Joe Kerimo
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–30
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Multi–Modal Slices
Inverted
Microscope
Red: DIC
Blue:
Hoechst CFM
Green: CRM
Hoechst
Confocal shows
nuclei
Weak CRM deep
suggests lack of
ballistic light.
1. Top (Deep) 2.
3. 4. Bottom
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–31
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2–Photon Microscopy
Huang, UCF
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–32
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2–P Advantages
• IR Light to Reduce Photodamage
• Nonlinearity to Reduce Photodamage
• IR Light to Increase Penetration
• No Pinhole (Better Alignment, Better Sectioning)
• Wide Detector (Collects All Light, including Scattered)
• Easier Filtering
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–33
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Melanin 3–P
Before Activation After Activation
Kerimo Photochemistry and Photobiology, 2011
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–34
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Collagen Fibrils inSHG
• Long–Range Goal: Understand Organization Under Load
• Current Goal: Measure Organization in Cornea
Thanks to Yair Mega, Mike Robitaille, Ramin Zareian
Collaboration with Kai–Tak Wan and Jeff Ruberti
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–35
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Collagen FibrilOrganization
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–36
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2–Photon vs. SHG
2–Photon SHG
λem > λex/2 λem = λex/2Depends on λem Less Dependent on λemExponential Time Decay Instantaneous
Random Direction Forward Direction
Unpolarized (Maybe) Polarized
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–37
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Optical CoherenceTomography
• Short Coherence Source
– Super–Luminescent
Diode
– Ti:Sap Laser
– Other
• M1 is Reference
• Moving Reference Mirror
• M2 is Target
• Interference? Compare. . .
– Path Difference
– Coherence Length
• Michaelson Interfereometer
g
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–38
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OCT Signals
• Examples with Partial Reflectors
• Air–Glass Interfaces (Simulated Signals)
• Idea Extends to Thick “Distributed” Targets
A. Target at Zero B. Added target at 8 µm
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–39
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Lung Images (OCT)
Initial Lung Image with Transparent Probe (Detail)
Partially Indented Lung Image (Detail)
Scale Bar 300 µm
Andrew Gouldstone, Maricris Silva, MIE Ph.D. 2011
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–40
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Bubble Phantom
Golabchi, Biomedical Optics Express, 2012
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–41
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Diffusive Imaging
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–42
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DOT and Ultrasound
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–43
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Some Safety Issues
• Chemical Toxicity
• Light Toxicity
– Photochemical
– Thermal
• Issues for Patient and Operator
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–44
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Summary
• Imaging with Light Offers
– Imaging Deep in the Body
– Imaging with Sub–Micrometer Resolution
– Non–Invasive Imaging
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–45
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Summary
• Imaging with Light Offers
– Imaging Deep in the Body
– Imaging with Sub–Micrometer Resolution
– Non–Invasive Imaging
• Pick Any Two
June 2019 Chuck DiMarzio, Northeastern University 12286..slides5–46