Electron counting
Yield and collection are separate factors; the mean counts drive the image sampling.
E11 · Electron imaging / spectroscopy
Rotate the side detector around a fixed terrace and three particles. Tilt the specimen, change working distance and landing energy, then compare the counted image with the true height map. The same terrain can look like a different object.
Physics tutorial
BackgroundRotate the side detector around a fixed terrace and three particles. Tilt the specimen, change working distance and landing energy, then compare the counted image with the true height map. The same terrain can look like a different object.
Why it mattersConnect the instrument setting to a measured result before interpreting the specimen.
Start with the essentials
Yield and collection are separate factors; the mean counts drive the image sampling.
The assumed visibility factor falls to 0.18 in a geometrically blocked direction; it is not a solved electrostatic collection efficiency.
The two fixed flanks of the central grain define the reported contrast.
Typical misconceptionA bright rim is a taller rim, and an SEM image is already a height map.
Better mental modelUse the fixed height reference and opposite-detector profile as counterexamples. Secondary-electron generation and collection both depend on geometry; quantitative height needs additional information.
Predict which flank of the central grain will brighten when the detector turns by half a revolution. Compare Surface target and Opposite detector before changing the specimen tilt.
What to observe: Detector geometry changes the image while the specimen stays fixed. Edge enhancement, visibility and counting statistics make brightness an ambiguous height measurement.Obtain at least 15 percent opposing-flank contrast, SNR at least 5, and a probe-blur proxy below 8 nm. Then reverse the detector and explain why the height map stays fixed.
What to observe: Use the numerical target, then compare the linked instrument and data views.Switch to in-lens collection, then raise working distance and lower current. Identify directional shading, blur and counting noise separately.
What to observe: Geometric teaching model: assumed secondary yield, cosine collection, ray-tested occlusion and curvature edge enhancement. Beam blur is empirical; counts use seeded Poisson sampling with a Gaussian approximation above 40. No self-consistent detector field, charging or calibrated height inversion. The raster is presentation only.