surface emissions specimen current x-rays cathodoluminescence pole piece, etc se3 ≈ 1 nm for...
Post on 22-Dec-2015
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Surface Emissions
Specimen current
X-raysCathodoluminescence
Pole Piece, etc SE3
≈ 1 nm for metals upto 10 nmfor insulators
Where are electrons coming from?
• Kanaya – Okayama equation for electron range in a material:
• Rk-o = (0.0276 A E01.67)/(Z0.89ρ) μm
– For E0 in keV, ρ in gm/cm3, A in gm/mole and Z = atomic number
Where are electrons coming from?
Material A Z ρ E0 R (μm)
PMMA 12.01 6 1.16 20 8.63295
Fe 55.26 26 7.87 20 1.58759
Fe 55.26 26 7.87 1 0.01066
Homework 2.2
Depth of originationof backscatteredelectrons
Backscatteredelectrons can Investigate deep into the sample
Distribution of scattered electron energies
Note that the distinction between SE and BSE is a definitionThere are only “scattered electrons”
Why do backscattered electrons give the most information about
chemical composition ?
Why don’t secondary electrons give much information about chemical composition?
Image formation and interpretation
Images from exactly the same area of the same sample taken with different detectors.
Pixels(Picture elements)
• NEC monitor: 380 x 300 mm; 1280 x 1024 pixels. Hence pixel size on monitor size is 297 x 293 microns...300 microns.
• Typical file size used in FEI Nova NanoSEM is 1024 x 884 pixels.
• Pixel size on sample is pixel size on monitor divided by magnification, about 15 microns (20X) to 0.6 nm (500kX).
So what; who cares?• Example: 10 keV beam at 100 pA viewing
at 100 X (neural array was taken at 118 X) saved into 1024 x 884 file using Leo and FEI.
• β = 4Ip/π2αp2 dp
2
• dp = (2WD/πrA)sqrt(Ip/ β) • FEI: dp = (2*5 mm/π*.015 mm)sqrt(10-10
Acm2sr/108A) = 0.5 nm!• Leo: (2*8 mm/π*.01 mm)sqrt(10-10 A
cm2sr/105A) = 40 nm!
So what; who cares? Cont’d
• So – Your pixel size varies from 0.6 nm to 15
microns– Your beam diameter can vary from 0.5 nm to
40 microns, at the smallest– Your interaction volume varies from 10
microns to 10 nm (BSE, SE2; last homework)
Implications
• If probe size is too small– You are wasting resolution: topography can
change between sampling points (Nyquist Theorem!)
– Resolution regained by sampling and saving more points
– You are wasting signal to noise– You are wasting contrast