TEM Sample Thickness Endpointing via S/TEM Signal Feedback

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Solution Overview

Problem

The challenge in semiconductor manufacturing lies in accurately determining the endpoint for sample thinning in transmission electron microscopy (TEM) sample preparation, which is crucial for achieving precise and reproducible results, especially as feature sizes shrink, leading to difficulties in achieving sufficient transparency without damaging the samples.

Innovation Solution

A method utilizing a SEM-S/TEM detector in a dual-beam FIB/SEM system, where the sample is thinned using a focused ion beam while monitoring thickness with S/TEM signals, allowing for precise endpoint detection and automation, enabling direct feedback and reproducible sample preparation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sample thinning is performed using FIB to achieve sufficient transparency for TEM imaging, then electron transmission is improved, but sample damage and loss of structural integrity occur

Engineering Contradiction:
Improveelectron transmissionVSAvoidsample damage
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent implements real-time feedback by monitoring the FIB milling process using secondary electron imaging and backscattered electron imaging. The system continuously adjusts milling parameters based on observed sample thickness and structural integrity, preventing over-milling and sample damage while achieving the required transparency for TEM imaging.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent employs dynamic control of the FIB milling process by varying ion beam current, milling depth per pass, and imaging intervals based on real-time sample condition assessment. This dynamic adjustment optimizes the balance between achieving sufficient thinness for electron transmission and preventing sample damage.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If manual monitoring of sample thickness is used during FIB thinning, then equipment complexity is reduced, but measurement precision and endpoint detection accuracy deteriorate

Engineering Contradiction:
Improvemonitoring systemVSAvoidthickness measurement
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent integrates multiple functions into the FIB-SEM system, combining ion beam milling, secondary electron imaging, backscattered electron imaging, and thickness measurement capabilities in a single instrument. This multi-functionality enables precise thickness monitoring without requiring additional external equipment, resolving the contradiction between device complexity and measurement precision.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If automated endpoint detection is implemented using S/TEM signals during FIB thinning, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improvesample preparation throughputVSAvoiddetection system
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent merges the detection system with the existing FIB-SEM instrumentation by utilizing the same electron detectors and imaging systems already present in the instrument. The automated endpoint detection leverages existing S/TEM signals and detectors, combining multiple functions without requiring separate dedicated detection equipment, thus improving productivity while minimizing the increase in device complexity.

Inventive Principle:
Principle #5Merging (Combining)

4Manufacturing precision

If repeated imaging and thinning cycles are performed to achieve precise thickness control, then manufacturing precision is improved, but loss of time increases

Engineering Contradiction:
Improvethickness controlVSAvoidsample preparation time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary rough milling to quickly remove excess material and bring the sample close to the target thickness, followed by finer incremental milling with frequent imaging checks only when needed. This preliminary action reduces the number of repeated imaging-thinning cycles required, improving manufacturing precision while minimizing time loss.

Inventive Principle:
Principle #10Preliminary action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for precise and reproducible thinning of TEM samples, enhancing throughput and enabling the integration of TEM-based metrology for in-line process control in semiconductor manufacturing by providing accurate and reliable thickness measurements during the thinning process.

Implementation Method 1

The sample can be thinned using a focused ion beam (FIB)

Methodology Applied
Scientific EffectSputtering: Sputtering

Implementation Method 2

In a TEM, a broad beam impacts the sample and electrons that are transmitted through the sample are focused to form an image of the sample

Methodology Applied
Scientific EffectElectron transmission: Electron Beam

Data Source

PatentUS9184025B2Measurement and endpointing of sample thickness
Publication Date: 2015.11.10 FEI CO
  • US9184025B2 patent drawing
  • US9184025B2 patent drawing
  • US9184025B2 patent drawing

AI summary

A method for Transmission Electron Microscopy (TEM) sample creation. The use of a Scanning Electron Microscope (SEM)—Scanning Transmission Electron Microscope (STEM) detector in the dual-beam focused ion beam (FIB)/SEM allows a sample to be thinned using the FIB, while the STEM signal is used to monitor sample thickness. A preferred embodiment of the present invention can measure the thickness of or create TEM and STEM samples by using a precise endpoint detection method. Preferred embodiments also enable automatic endpointing during TEM lamella creation and provide users with direct feedback on sample thickness during manual thinning. Preferred embodiments of the present invention thus provide methods for endpointing sample thinning and methods to partially or fully automate endpointing.