size and shape of particles from dynamic image analysis · © 2018 horiba, ltd. all rights...
TRANSCRIPT
![Page 1: Size and Shape of Particles from Dynamic Image Analysis · © 2018 HORIBA, Ltd. All rights reserved. 3 Analysis Techniques ViewSizer 3000 PSA-300 CAMSIZER X2 CAMSIZER LA-350 LA-960](https://reader034.vdocument.in/reader034/viewer/2022042806/5f6d6d30ecc4134ae72dcd16/html5/thumbnails/1.jpg)
© 2018 HORIBA, Ltd. All rights reserved. 1© 2018 HORIBA, Ltd. All rights reserved. 1
Size and Shape of Particles
from Dynamic Image Analysis
HORIBA Scientific
Particle Analysis
Jeffrey Bodycomb, Ph.D.
October 30, 2018
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© 2018 HORIBA, Ltd. All rights reserved. 2
Intro
Orientation
What is image analysis
Why?
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© 2018 HORIBA, Ltd. All rights reserved. 3
Analysis Techniques
ViewSizer 3000
PSA-300
CAMSIZER X2
CAMSIZER
LA-350
LA-960
SZ-100
Image Analysis
Size AND shape
Laser Diffraction
We are here
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•Converts scattered light to
particle size distribution
•Quick, repeatable
•Powders, suspensions•Most common technique
•Fast, gets to very small
size, but no shape
information
Laser Diffraction
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Take a picture,
analyze for
size and shape
Measurement Results
What is image analysis?
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Size and shape from pictures
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Data Evaluation
Binarize
Find Edges
Analyze Each Particle
Output Distribution
Raw Image
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Replace sieves (really!)
Verify/supplement laser diffraction results (orthogonal technique).
Need shape information, for example due to importance of powder flow
These may have the same size (cross section), but
behave very differently.
Why image analysis?
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More information available through www.retsch.com
Replace Sieves
Sieves tend to wear over time. It is difficult to tell when sieve results are “drifting” due to wear
Results depend on nature of shaking and loading leading to operator to operator variations in results.
Small number of size classes
Why image analysis?
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Why: effect of shape on flow
• Yes, I assumed density doesn’t matter.
• Roundness is a measure based on particle perimeter.
qc
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© 2018 HORIBA, Ltd. All rights reserved. 11
Shape affects drug release profile
Why: multiparticulate drugs
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Why: 3D printing
3D printing with metal /
additive manufacturing
Size affects quality, shape
affects flow.
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The image
Resolution
Max size/field of view
Two cameras
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The image: resolution
Pictures of digital cameras:
“Picture
Element”:
PIXEL
Lower measurement
limit defined by the
resolution of the
camera
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CCD - Basic CCD - Zoom
Measuring Principle
Detection of
particles
One pixel is
element of a
projection when
at least half of
the pixel is
covered.
CAMSIZER XT 10µm 0.8µm
CAMSIZER
The image: resolution
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The image: maximum size
Large particles
cannot be
measured properly
even if they fit in
the frame.
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The image: maximum size
The probability of
large particles
touching the
edge of the frame is
higher than for smaller
particles.
=> Large particles
cannot been measured
sufficiently
Upper limit of
measurement range
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Basic-Camera Zoom-Camera
The image: two camera system
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CCD - Basic CCD - Zoom
Pixel Size
Size Range 20 mm to 1.25 mm130 mm to 30 mm
CAMSIZER 66 µm 10 µm
A B
C D
Lower limitUpper limit
The image: two camera system
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The sample
Dispersing
Static vs. dynamic
Dispersing options
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Dispersing a sample
For static image analysis, want to spread
particles out so that they don’t touch.
No Yes
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Static image analysis
• Particles are dispersed (isolated)
on a surface
• Picture are taken from stationary particles
• Camera or surface with particles is shifted,
multiple images are taken
from different positions,
images are processed and evaluated
• High resolution images
is possible
• Number of images/particles is limited
(because of time limitations)
• Preferred orientation of the particles
on the surface (largest 2D) HORIBA PSA300
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Dynamic image analysis
• Particles flow through the
measurement volume of the instrument
and the field of view of the camera
• Particles are captured
during movement,
no other moving parts necessary
• Capturing of many particle images
in a short time interval
• Limitations because of
image rate of the camera(s)
• Image quality is (a bit) worse
• Particles are projected
in random orientation (3D)
CAMSIZER
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Free flowing powder
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Want to spread particles out so that they
don’t touch.
Use % of field of view that is covered in
order to automatically control feed rate.
Control feed rate
Feeding too fast Good
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Air dispersion with X-Jet
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Or examine wet dispersion…
Dispersion bath
Ultrasonic
probe
Centrifugal
pump
Outlet
Flow cellLevel
sensor
Light sources
Basic
camera
Zoom
camera
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The data
Size measures
Matching sieves
Shape
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xcmin
xc min
“width”
A
A‘ = A xare
a
“diameter over
projection surface”
xarea
“length”
xFe max
xFemax
Width is best
suited for
comparison
with sieves !
Shape
parameters
can be
calculated!
Many size measures
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Comparison of size definitions
different
size definitions
different
results
xc min xArea xFe max
Measurement Results
x [mm]0.2 0.4 0.6 10
10
20
30
40
50
60
70
80
Q3 [%]Sample A_Basic_0.2%_xc_min_001.rdfSample A_Basic_0.2%_x_area_001.rdfSample A_Basic_0.2%_xFemax_001.rdf
Graph of measurement results:M:\...r Distributoren-Meeting\CAMDAT\Sample A\Sample A_Basic_0.2%_xc_min_001.rdfTask file: Sample A_Basic_0.2%.afg
x [mm]0.2 0.4 0.6 10
10
20
30
40
50
60
70
80
Q3 [%]Sample A_Basic_0.2%_xc_min_001.rdfSample A_Basic_0.2%_x_area_001.rdfSample A_Basic_0.2%_xFemax_001.rdf
Graph of measurement results:M:\...r Distributoren-Meeting\CAMDAT\Sample A\Sample A_Basic_0.2%_xc_min_001.rdfTask file: Sample A_Basic_0.2%.afg
2 x[mm]
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Sieving vs. image analysis
Ellipsoidal Particles
x [mm]1.0 1.25 1.5 1.75 2.00
10
20
30
40
50
60
70
80
Q3 [%]
xcmin
A‘ = A
xare
a
ASieve results
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x [mm]0.1 10
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Q3
Tinovetin-B-CA584A_BZ_xc_min_002.rdf
Syngenta-1mm-2min-Sieb.ref
Meßwertdiagramm:
D:\...-Demo-Muenchwillen\CAMSIZER-Messungen\Tinovetin-B-CA584A_BZ_xc_min_002.rdf
Meßaufgabe: Syngenta-BZ.afg
Digital image processing
Competing Measuring Methods
--- width measurement
-*- Sieving
comparison
CAMSIZER-measurement xc min (red)and sieving * (black)
xcmin
xc min
“width”
Width Measurement Sieving
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Lenticular particles
x [mm]0.2 0.4 0.6 10
10
20
30
40
50
60
70
80
Q3 [%]
Sample A_BZ_0.2%_xc_min_001.rdfSample A_.ref
Graph of measurement results:M:\...izer Distributoren-Meeting\CAMDAT\Sample A\Sample A_BZ_0.2%_xc_min_001.rdfTask file: Sample A_BZ_0.2%.afg
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Lenticular particles
x [mm]0.2 0.4 0.6 10
10
20
30
40
50
60
70
80
Q3 [%]
Sample A_BZ_0.2%_xc_min_001.rdfSample A_.ref
Graph of measurement results:M:\...izer Distributoren-Meeting\CAMDAT\Sample A\Sample A_BZ_0.2%_xc_min_001.rdfTask file: Sample A_BZ_0.2%.afg
![Page 35: Size and Shape of Particles from Dynamic Image Analysis · © 2018 HORIBA, Ltd. All rights reserved. 3 Analysis Techniques ViewSizer 3000 PSA-300 CAMSIZER X2 CAMSIZER LA-350 LA-960](https://reader034.vdocument.in/reader034/viewer/2022042806/5f6d6d30ecc4134ae72dcd16/html5/thumbnails/35.jpg)
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Angular particles (coal, sugar)
x [µm]200 400 600 8000
10
20
30
40
50
60
70
80
90
Q3 [%]
RT669_3993_Z_LB_05%_xc_min_001.rdf
RT669_RT_3993.ref
Graph of measurement results:
C:\...SIZER_GMS\CAMDAT\RT669_LabtechEssa\3993\RT669_3993_Z_LB_05%_xc_min_001.rdf
Task file: RT669_3993_Z_LB_05%.afg
![Page 36: Size and Shape of Particles from Dynamic Image Analysis · © 2018 HORIBA, Ltd. All rights reserved. 3 Analysis Techniques ViewSizer 3000 PSA-300 CAMSIZER X2 CAMSIZER LA-350 LA-960](https://reader034.vdocument.in/reader034/viewer/2022042806/5f6d6d30ecc4134ae72dcd16/html5/thumbnails/36.jpg)
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Cube/ angular particles
x [µm]200 400 600 8000
10
20
30
40
50
60
70
80
90
Q3 [%]
RT669_3993_Z_LB_05%_xc_min_001.rdf
RT669_RT_3993.ref
Graph of measurement results:
C:\...SIZER_GMS\CAMDAT\RT669_LabtechEssa\3993\RT669_3993_Z_LB_05%_xc_min_001.rdf
Task file: RT669_3993_Z_LB_05%.afg
![Page 37: Size and Shape of Particles from Dynamic Image Analysis · © 2018 HORIBA, Ltd. All rights reserved. 3 Analysis Techniques ViewSizer 3000 PSA-300 CAMSIZER X2 CAMSIZER LA-350 LA-960](https://reader034.vdocument.in/reader034/viewer/2022042806/5f6d6d30ecc4134ae72dcd16/html5/thumbnails/37.jpg)
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Digital imaging <-> sieving
x [µm]200 400 600 8000
10
20
30
40
50
60
70
80
90
Q3 [%]
RT669_3993_Z_LB_05%_xc_min_001.rdf
RT669_RT_3993.ref
Graph of measurement results:
C:\...SIZER_GMS\CAMDAT\RT669_LabtechEssa\3993\RT669_3993_Z_LB_05%_xc_min_001.rdf
Task file: RT669_3993_Z_LB_05%.afg
CAMSIZER-measurement xc min (red)sieve analysis * (black)
x [µm]200 400 600 8000
10
20
30
40
50
60
70
80
90
Q3 [%]
RT669_3993_Z_LB_05%_xc_min_001.rdf
RT669_RT_3993.ref
Graph of measurement results:
C:\...SIZER_GMS\CAMDAT\RT669_LabtechEssa\3993\RT669_3993_Z_LB_05%_xc_min_001.rdf
Task file: RT669_3993_Z_LB_05%.afg
angular particles without fitting
Need only set up one
correlation for each
process/product.
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Feret diam. 1
Longest diam.
Shortest diam.to longest┴
Aspect ratio
= shortest diam
longest diam
= to longest diam
longest diam
= shortest Feret diam
longest Feret diam
= three different numbers!
┴
Shape: aspect ratio
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More shape descriptors
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Advanced Shape Descriptors
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Krumbein roundness
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Clumps are “round”
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© 2018 HORIBA, Ltd. All rights reserved. 43
SPHT0.55 0.60 0.65 0.70 0.75 0.80 0.85 0.900
10
20
30
40
50
60
70
80
90
Q3 [%]
#181-Conveyor_xc_min_002.rdf
#181-Ballmilled_xc_min_001.rdf
#231-Conveyor_xc_min_001.rdf
Graph of measurement results:
E:\...inerals\CAMDAT\Pittcon-2009-Bill-Travers-SPHT\#181-Conveyor_xc_min_002.rdf
Task file: Bill-Travers.afg
More round and
compact
More irregular
P
A2
4
A
P
Shape analysis
Roofing granules
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© 2018 HORIBA, Ltd. All rights reserved. 44
Mixture of types by shape
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Data Quality
Resolution
Accuracy
How many particles?
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Resolution
Measurement Results
mixture of six sizes of grinding balls
46© Retsch Technology GmbH
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© 2018 HORIBA, Ltd. All rights reserved. 47
Accuracy
• Is that the “real size”?
• Image analysis uses actual
pictures to extract size.
• Calibration with a reticle.
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© 2018 HORIBA, Ltd. All rights reserved. 48
20,000 particles 200 particles
second
population
missed
“holes” in distribution
But d10, d50 &d90 may appear similar
Effect of number of particles
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Example: for uncertainty of + 5 µm with st dev= 20 µm
Must measure 61 particles
Implies normal particle size distribution, greater than 30
particles, and known standard deviation.
n
szu
u=uncertainty
z=confidence coefficient (often ~2, see a statistics book)
s=standard deviation of distribution (width)
n=number of particles measured
2
u
szn
62
5
96.12022
u
szn
<USP> 776: Mean
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<USP> 776: Standard Deviation
Implies normal particle size distribution, greater than 30
particles, and known standard deviation.
2
2
2
2
ba
ns
ns
=Moment of chi squared distribution (see a statistics book)
s=estimated standard deviation of distribution (width)
n=number of particles measured
These limits are asymmetric around the standard deviation.
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50 particles
0.050.040.030.020.01
5 6 7 8 9
1002 3
Circular Diameter, mm
0.05
0.04
0.03
0.02
0.01
0.00
Diffe
rential D
istr
ibu
tion
1.0
0.8
0.6
0.4
0.2
0.0
Cum
ula
tive D
istr
ibution
All Particles Measurement 1 Measurement 2
Measurement 150 particles
Measurement 250 particles
Volume Based Distributions
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400 particles
0.05
0.04
0.03
0.02
0.01
0.00
Diffe
ren
tia
l D
istr
ibu
tio
n
5 6 7 8 9
1002 3
Circular Diameter, mm
0.04
0.03
0.02
0.01
1.0
0.8
0.6
0.4
0.2
0.0
Cu
mu
laltiv
e D
istr
ibu
tio
n
Volume Based Distributions
All Particles Measurement 1 Measurement 2
Measurement 1400 particles
Measurement 2400 particles
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© 2018 HORIBA, Ltd. All rights reserved. 53
Compare With USP
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© 2018 HORIBA, Ltd. All rights reserved. 54
How Many Particles?
Some materials have a distribution such that SD/Mean ~ 1.
To obtain reliable mean values, measure ~1500 particles.
To obtain more details about the distribution, (10x?) more
particles need to be measured.
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Examples
Cool things not mentioned
elsewhere
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Agglomerates in powders
By measuring a lot of particles, can detect a
small fraction of aggregates
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xc_min [µm]500 550 600 650 700 750 800 850 900 9500
10
20
30
40
50
60
70
80
90
Q3 [%] Uncoated Dyed Beads_xc_min_002.rdf2per Coated Dyed Beads_xc_min_003.rdf4per Coated Dyed Beads_xc_min_005.rdf6per Coated Dyed Beads_xc_min_006.rdf8per Coated Dyed Beads_xc_min_007.rdf10per Coated Dyed Beads_xc_min_008.rdf12per Coated Dyed Beads_xc_min_009.rdf14per Coated Dyed Beads_xc_min_010.rdf
Graph of measurement results:C:\...errigo Lunch and Learn\Horiba\HaloSugar\Uncoated Dyed Beads_xc_min_002.rdfTask file: HaloSugar.afg
Coating process
Sample D50,
microns
Diff,
microns
Uncoat
ed,
dyed
beads
801
2% 809 8
4% 815 6
6% 821 6
8% 831 10
10% 838 7
12% 846 8
14% 852 6
Can resolve 2% increase in coating weight:
about 10 microns
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© 2018 HORIBA, Ltd. All rights reserved. 58
Monitoring Coating
Precision requires measuring enough particles.
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Wrapping up
Closing comments
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Robust measurement….the interaction between the instrument and the particle is optical, so there is no wear and change in calibration.
High resolution size distribution results
Fast
These are all reasons to use Dynamic Image Analysis instead of sieves.
Why dynamic image analysis
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© 2018 HORIBA, Ltd. All rights reserved. 61
The HORIBA PSA300
• Turnkey System
– More time getting results and less time engineering
• Automated
– Faster
– Less operator labor
– Less operator bias
• Powerful Software Features
– Image Enhancement
– Particle separation
• Separate Disperser Option
– More flexible sample preparation
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© 2018 HORIBA, Ltd. All rights reserved. 62
The CAMSIZER
• Measurement of very broad particle distributions
• Direct particle definition– by width (analogue to sieving)
– by length
– or projection surface
• Two camera system for more accuracy/wider range
• Easy operation
• Fail-safe, robust
• Ideal for particle shape analyses
• Measurement of density, counting of particles
Measurement Results
62© Retsch Technology GmbH
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Static or Dynamic Image Analysis?
• Dynamic
– Broad size distributions (since it is
easier to obtain data from a lot of
particles)
– Powders, pellets, granules
• Static
– Samples that are more difficult to
disperse (there are more methods for
dispersing the samples)
– Samples that are more delicate
– Pastes, sticky particles, suspensions
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© 2018 HORIBA, Ltd. All rights reserved. 64
Conclusions
• Image Analysis is good for
– Replacing Sieves
– Size
– Shape
– Supplementing other techniques
• Watch out for
– Sample preparation
– Image quality
– Measure enough particles
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Questions?
• www.horiba.com/us/particle
• Keep reading our newsletter: https://www.horiba.com/us/en/scientific/products/particle-characterization/request-information/
• Jeffrey Bodycomb, Ph.D.
• 800-446-7422
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