cirtemo_overview_with hyperspectral example-pre-nda
TRANSCRIPT
The Multivariate Optical
Element Platform
Febuary 2, 2015
Overview
• CIRTEMO Overview
• The Multivariate Optical
Element Platform
• Questions & Answers
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 2
Today’s goal:
Introduce the Multivariate Optical Element
Platform and address any questions
regarding the underlying technology.
CIRTEMO™ Corporate Overview
• CIRTEMO was founded in late 2012 and is headquartered in Columbia, SC
• CIRTEMO designs and manufactures patented optical filters:
– Called Multivariate Optical Elements (MOE)
– Encoded to detect and measure complex chemical signatures or attributes.
• MOEs enable optical systems to
– Detect and measure specific chemicals or attributes that cannot be achieved with traditional optical filters
– Achieve better performances from optical components and systems
• CIRTEMO has 40+ patents granted and perpetually licensed worldwide around MOE technology
• CIRTEMO is partnering with
– Optical Filter Manufacturers (OFMs)
– Optical System Manufacturers (OSMs)
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 3
CIRTEMO™ Technology Overview
• Chemometrics – is a method for modeling multivariate data (eg. optical spectra)
– Model parameters can be applied to data from a spectrometer (or series of bandpass measurements) to estimate the composition of unknowns
• Multivariate Optical Computing (MOC)
– is an alternative method for modeling multivariate optical spectra
– Is the optical equivalent of a dot product in which simple optical systems may achieve the sensitivity/specificity of a laboratory grade spectrometer.
– is mostly achieved by refinement of optical interference filter structures that we call Multivariate Optical Elements (MOEs)
– MOEs can be installed in a photometer to estimate or predict the composition of unknowns.
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 4
Wavelength (nm)
Inte
ns
ity
Sample #
Pre
dic
tio
n
Wavelength (nm)
Re
gre
ss
ion
+
-
x =
The Multivariate Optical Element (MOE) Platform
• Multivariate Optical Computing is the optical equivalent of a dot product
– ŷ - estimated analytical property (eg. concentration)
– t - scaled regression vector
– - analytical spectroscopic response (eg. SWIR spectrum)
• Multivariate Optical Elements (MOEs)
– are patented, wide-band, optical interference filters encoded with an application-specific regression (or pattern) to detect/measure complex chemical signatures.
– realize the measurement advantages of Multivariate Optical Computing (MOC)
– enable a filter based instrument to achieve the sensitivity/specificity of a laboratory spectrometer as well as convert a focal plane array into a real-time hyperspectral imager.
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 5
M.P. Nelson, J.F. Aust, J.A. Dobrowolski, P.G. Verly and M.L. Myrick "Multivariate Optical Computation for Predictive Spectroscopy " Anal. Chem. 70, 73-82 (1998).
ŷ = 𝒕 • 𝜆 = 𝑡𝒊 • 𝜆𝒊
𝑵
𝒊
Multiplication Addition
1
Optical Filter
(t1 = 0.9; t2 = 0.5)
0.91
Detector
2
(0.91+ 0.52)
0.52
Wavelength (nm)
% T
ran
sm
iss
ion
MOE
The Multivariate Optical Element (MOE) Platform
• MOEs may be incorporated into optical systems in a variety of ways:
– Beam-splitter configuration (single MOE; multiple detectors)
– Filter photometer configuration (multiple MOEs; single detector)
– Snapshot array configuration (multiple MOEs; multiple detectors)
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 6
MOE DetectorT
DetectorR
50 100 150 2000
20
40
60
80
100
Interested Wavelength
%R
50 100 150 2000
20
40
60
80
100
Interested Wavelength
%T
Beam-splitter Configuration
MOE1
Detector
Filter Photometer Configuration
MOE2
ND
Snapshot Array Configuration
Notional MOE Hyperspectral Imager Detection
1. Imager collects
light from scene
2. SWIR light passes through patterned, target-
specific, MOE filters before pixel readout
3. Target-specific imagery is extracted from patterned
pixel readout or compiled from discrete MOE filters
5. Report detection
events
2. SWIR light passes through target-
specific, MOE filters before pixel readout
4. Image Processing
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 7
Wavelength (nm)
% T
ran
sm
iss
ion
Discrete Bandpass Measurements
Wavelength (nm)
% T
ran
sm
iss
ion
MOE Measurements (MOE1 & MOE2)
Radiation
from Scene
Hyperspectral Imaging with Multivariate Optical Elements
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 8
Wavelength (nm)
PL
S R
eg
res
sio
n
+
-
PLS (or Optical) Regression
Op
tica
l Reg
res
sio
n (M
1 –
M2
)
Detection
–
MOE2
=
MOE1
Scene
Narrow Bandpass
or Tunable Filters
1. Narrow band images are
measured (HSI data cube)
2. Regression is applied to
each pixel (or spectrum) to
yield analyte score image
Multivariate
Optical Element(s)
1. MOE intensity images are
measured
2. Simple image math is
performed to yield analyte
score image
The MOE Platform vs. Band Pass Filters
Feature Benefit(s)
• Higher sensitivity than traditional band
pass filters
• Pure optical amplification of analyte signal permits
lower detection limits
• Higher specificity than traditional band
pass filters
• Reduced crosstalk
• Multiplexing opportunities (more analytes can be
detected simultaneously) in complex mixtures
• Higher signal-to-noise ratio
measurement than traditional narrow
band pass filters
• Less sample material (smaller volume) can be used
• Less expensive/powerful subcomponents may be used
• Measurement flexibility • Environmental interference compensation may be
rolled up into the MOE design
© CIRTEMO, LLC 2015. All Rights Reserved.
CIRTEMO Products and Services are protected by U.S. and International issued patents and pending patent applications. 9
Multivariate Optical Elements can increase the sensitivity and
specificity of analyte detection compared to band pass filters.
Questions/Next Steps
© CIRTEMO, LLC 2015. All Rights Reserved. CIRTEMO Products and Services are protected by U.S. and International issued patents and pending
patent applications. 10