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In-Line Scatterometry for CD Uniformity — PatSnap Eureka

In-Line Scatterometry for CD Uniformity — PatSnap Eureka
Semiconductor Process Control

In-Line Scatterometry for Real-Time CD Uniformity Control in Logic Fabs

How optical diffractometry, advanced process control architectures, and hierarchical CDU mapping combine to keep critical dimensions on target across high-volume logic manufacturing — drawing on 50+ patents from KLA-Tencor, ASML, AMD, and TSMC.

Patent Filing Activity by Assignee in In-Line Scatterometry for CDU: ASML 10+, AMD 8+, KLA-Tencor 7+, Hermes Microvision 7+ Bar chart showing dominant patent assignees in in-line scatterometry for critical dimension uniformity control, spanning 1989–2025 across 50+ records from US, WO, EP, AU, TW, and CN jurisdictions. Sourced from PatSnap Eureka patent analysis. 12 9 6 3 10+ ASML 8+ AMD 7+ KLA-Tencor 7+ Hermes MVI Patent records by assignee · PatSnap Eureka · 1989–2025
50+
Unique patent & literature records analysed
30yr
Innovation timeline covered (1989–2025)
6
Jurisdictions: US, WO, EP, AU, TW, CN
4
Dominant assignees driving IP landscape
Measurement Physics

How Scatterometry Extracts CD Without Destroying the Wafer

Scatterometry leverages the angular or spectral signature of light diffracted from periodic on-wafer structures to infer critical dimension (CD), sidewall angle, and film thickness without physical contact or sample destruction. The technique became practical for production control as semiconductor features shrank below the wavelength of visible light, making direct optical imaging insufficient while CD-SEM throughput remained inadequate for high-volume sampling.

A foundational calibration method, patented by Advanced Micro Devices in 2003, involves measuring the CD of at least one production feature using a scatterometry tool, simultaneously measuring a set of grating structures each with a different known CD, and using those grating measurements to correct the production-feature measurement. This closes the gap between library-based model fits and actual fab process conditions, reducing systematic offset errors that would otherwise propagate into APC corrections.

ASML's differential-signal scheme adds a bias-independent reference point: periodic targets with different CD biases are illuminated, scattered radiation intensities are measured, and a differential signal is computed. The key physical insight is that this differential signal approximates zero at a 1:1 line-to-space ratio. The determined CD or exposure dose is then fed directly into the scanner APC to correct lithographic processing of subsequent substrates.

Academic validation from the Catalan Institute of Nanoscience and Nanotechnology (2020) confirmed real-time optical scatterometry measuring multiple diffraction orders from silicon gratings, with cross-referencing against FIB, SEM, and scanning stylus profilometry — validating the diffractometric measurement physics that underlies wafer-fab scatterometry.

≈0
Differential signal at 1:1 line-to-space ratio — ASML's bias-independent reference
3
Parameters extracted simultaneously: CD, sidewall angle, film thickness
2003
AMD's first calibration patent for scatterometry-based CD metrology tools
2025
ASML's most recent active US patent — EPE as APC control parameter
Key assignees
ASML KLA-Tencor AMD Hermes MVI
Secondary contributors include IBM, TSMC, GlobalFoundries, LSI Logic, UMC, and Shanghai Huali.
APC Architectures

Feedback, Feed-Forward, and Sub-Field Control for CDU

The translation of scatterometry measurements into actionable process corrections is the core value proposition of in-line metrology. Two fundamental control topologies — and increasingly granular spatial correction — define the modern APC stack.

Feedback Control

Measurements on Processed Lots Drive Corrections to Subsequent Wafers

AMD's 2004 patent on measuring in-circuit structures — not dedicated test gratings — generates feedback signals that selectively adjust fabrication components and operating parameters. Direct in-circuit measurement eliminates the need to reserve chip real estate for dedicated test gratings, enabling control over the actual device structures that determine final chip performance.

AMD, US 2004 — in-circuit scatterometry
Feed-Forward Control

Upstream Scatterometry Data Pre-Corrects Downstream Process Steps

AMD's 2005 reticle-level patent routes scatterometry data gathered from the reticle itself — compared against stored signature libraries — forward to control subsequent reticle etch processes. This closes an upstream control loop that prevents reticle CD errors from propagating to printed wafer CDs. The same framework was extended to concurrent CD and overlay measurement in a single metrology pass (AMD, US 2006).

AMD, US 2005 — reticle feed-forward
Sub-Field Intra-Exposure Correction

ASML's Most Granular APC: Intra-Field Corrections Within a Single Scanner Exposure

ASML's 2022 CN patent uses measurement data from scatterometry and other tools to determine intra-field corrections to drive the lithography apparatus, with a precision metric computed when measurement data reliability is uncertain. The system continuously loops measurement data back to minimize the risk of patterning drifting outside the process window — defined as the range of dose, focus, and overlay parameters yielding a functional semiconductor device.

ASML, CN 2022 — sub-field control
APC Guard-Rail Defense

TSMC's Validation Layer Prevents Runaway Correction Instability

TSMC's 2012 defense system patent establishes that overlay process value settings derived from metrology measurements are compared against a high/low specification computed from current overlay error data. The system validates that any proposed correction falls within acceptable control bounds before applying it — a guard-rail function that prevents run-away APC corrections from introducing systematic CD offsets. This is essential when scatterometry-derived corrections are applied automatically at high throughput.

TSMC, US 2012 — APC defense system
PatSnap Eureka

Map the Full APC Patent Landscape in Minutes

Search 50+ scatterometry control patents across ASML, KLA, AMD, and TSMC with AI-powered analysis.

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Data Intelligence

APC Evolution and CDU Monitoring Coverage

Three decades of patent filings reveal a clear progression from single-point CD measurement to EPE-driven, probabilistic yield control — and from sparse sampling to full-wafer CDU maps.

APC Capability Evolution by Era (1989–2025)

From single-point test-grating CD in the early 2000s to sub-field EPE-driven yield control by 2022+, each era added a new measurement and correction dimension.

APC Scatterometry Capability Score by Era: Early 2000s score 1 (single-point CD), Mid-2000s score 2 (CD+overlay), 2010s score 3 (wafer CDU maps), Early 2020s score 4 (sub-field EPE-driven) Ordinal capability progression of scatterometry-based APC in high-volume logic fabs, from single-metric test-grating measurement to full-pattern EPE control, based on patent filing analysis via PatSnap Eureka spanning 1989–2025. 4 3 2 1 Early 2000s Mid-2000s 2010s Early 2020s CD only CD+OVL CDU maps EPE-APC Capability level Source: PatSnap Eureka patent analysis · 50+ records · 1989–2025

CDU Monitoring Approaches by Technical Theme

Patent records cluster around three primary technical axes: optical scatterometry signal acquisition, feedback/feed-forward control loops, and hybrid metrology CDU mapping.

CDU Monitoring Technical Theme Distribution: Optical Scatterometry Signal Acquisition (40%), Feedback/Feed-Forward APC Loops (35%), Hybrid Metrology CDU Mapping (25%) Proportional breakdown of dominant technical approaches in the in-line scatterometry for CDU patent dataset, derived from PatSnap Eureka analysis of 50+ records. Three axes cluster: optical signal acquisition, APC control loops, and hybrid metrology mapping. 3 tech axes Optical Scatterometry 40% Feedback/FF APC Loops 35% Hybrid CDU Mapping 25% Source: PatSnap Eureka · 50+ patent records analysed

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CDU Monitoring Strategies

From Sparse Sampling to Full-Wafer Die-Level CDU Maps

Achieving statistically representative CD monitoring without consuming excessive metrology tool time requires smart sampling architectures. These four approaches — from different assignees — address the throughput-precision trade-off from complementary angles.

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Representative Feature Selection — LSI Logic (2004)

A cluster of CD features on the reticle is measured; the cross-chip average feature size is computed; and the CD feature whose dimension is closest to that average is selected as the standard in-line measurement target. This ensures the single measurement point used for routine production monitoring genuinely reflects the chip-wide average rather than an outlier location — correcting a systematic bias inherent in arbitrarily chosen measurement sites.

🗺️

Dynamic Metrology Sampling — IBM (TW 2011)

A pre-process measurement map is generated from sparse measurements; isolated and nested structures are sampled separately; and a confidence map is computed for each die. When confidence data for one or more dies fall outside defined limits, a priority measurement position is added to the recipe — dynamically concentrating metrology effort at the wafer sites most at risk of CDU excursion.

🔒
Unlock KLA & Hermes Microvision CDU Mapping Methods
See how hierarchical SEM-optical fusion and die-by-die scanning solve the throughput-precision trade-off in production fabs.
KLA hierarchical CDU map Hermes full-wafer die scan + patent details
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Competitive IP Landscape

Key Assignees and Their Innovation Focus Areas

The dataset spans more than 50 unique records across six jurisdictions. Dominant assignees cluster around distinct technical themes — from scanner-integrated scatterometry to die-level CDU monitoring.

Assignee Filing Volume Jurisdictions Primary Technical Focus Patent Status
ASML Netherlands B.V. 10+ records US, WO, CN Scanner-integrated scatterometry, differential CD-signal methods, sub-field correction, EPE-driven APC Active 2016–2025
Advanced Micro Devices (AMD) 8+ records US, WO, EP, AU In-circuit scatterometry, concurrent CD-overlay, reticle-level feed-forward control Foundational prior art
KLA-Tencor Corporation 7+ records US, WO, CN Multi-modal metrology, CDU mapping (SEM+optical), 3D integration feed-forward Active (2019, 2024)
Hermes Microvision Inc. 7+ records US High-speed e-beam die-by-die CDU monitoring aligned to design layouts Active 2012–2016
TSMC 2 records US APC defense system, CDU improvement for wafer patterned structures 2012
IBM 2 records TW, US Dynamic metrology sampling, stepper-focus-monitor integration for CD accuracy 2003–2011

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PatSnap Eureka monitors legal status changes, new filings, and citation networks across the full CDU control IP landscape.

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Strategic Insights

Seven Key Takeaways from 30 Years of Scatterometry APC Patents

The patent record distils into actionable engineering and IP intelligence. Each finding is traceable to a specific patent or literature source in the dataset.

In-Circuit Measurement

Eliminate the Test-Grating Real-Estate Penalty

By measuring repeating in-circuit structures directly, fabs gain control over the actual device features that determine chip performance without sacrificing die area to dedicated gratings. Pioneered by AMD in US 2004, this approach is now standard practice.

AMD, US 2004
Differential-Signal Method

Dose-Independent CD Extraction via Paired Target Comparison

ASML's method of computing differential signals from pairs of targets with different CD biases separates CD from exposure dose without needing absolute intensity calibration. The differential signal approximates zero at a 1:1 line-to-space ratio — a bias-independent reference point. Disclosed in ASML US 2016, confirmed in US 2019.

ASML, US 2016 & 2019
Reticle Feed-Forward

Prevent Mask CD Errors From Printing to Wafers

Routing reticle-level scatterometry signatures into downstream etch APC closes a critical upstream control gap. AMD's 2005 patent established that scatterometry data gathered from the reticle itself — compared against stored signature libraries — can pre-correct etch processes before mask errors propagate to wafer CDs.

AMD, US 2005
EPE as the New Control Metric

APC Is Evolving from CD to Edge Placement Error

ASML's 2025 US patent establishes edge-placement error (EPE) derived from image contours as a control parameter — signaling the extension of scatterometry-informed APC beyond CD to full-pattern fidelity. EPE integrates CD, overlay, and pattern fidelity as the ultimate yield-relevant quantity. Explore the full patent analytics landscape for EPE control methods.

ASML, US 2025 — active
  • Hierarchical CDU mapping — CD-SEM for initialization, optical metrology for coverage — optimizes the throughput-precision trade-off (KLA-Tencor, US 2019)
  • Representative CD feature selection is essential for CDU monitoring validity; arbitrarily chosen sites may misrepresent chip-wide CD averages (LSI Logic, 2004)
  • APC guard-rail mechanisms are required to prevent correction instability at high throughput; every correction must be validated against a specification band before application (TSMC, US 2012)
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APC Workflow

From Scatterometry Signal to Corrected Exposure: The End-to-End Control Loop

A high-volume logic fab's scatterometry APC loop spans three stages: measurement and calibration, signal processing and control decision, and correction application with guard-rail validation.

Scatterometry APC End-to-End Workflow: Step 1 Measure (diffract light from on-wafer grating, acquire angular/spectral signature), Step 2 Calibrate (compare against golden wafer or simulation reference, compute differential signal), Step 3 Control Decision (feedback or feed-forward, validate against spec band), Step 4 Apply Correction (scanner dose/focus, etch recipe, or reticle etch APC) 1 Measure Diffract & Acquire 2 Calibrate Differential Signal 3 Control Decision Guard-Rail Validate 4 Apply Correction Scanner / Etch APC
Step 1–2: Measure & Calibrate

Diffract light from periodic on-wafer or in-circuit structures. Acquire angular or spectral signature. Compare against golden-wafer reference or simulation-derived intensity-gradient sensitivities (ASML, US 2016/2019). Compute differential signal for bias-independent CD extraction.

Step 3: Control Decision

Route measurement to feedback (correct subsequent lots) or feed-forward (pre-correct downstream step). Validate proposed correction against high/low specification band — TSMC's defense system (US 2012) — before applying. Compute precision metric if measurement data reliability is uncertain (ASML, CN 2022).

Step 4: Apply Correction

Send validated correction to scanner (dose, focus, intra-field sub-field), etch tool (recipe, gas flow, temperature), or upstream reticle etch APC. For CDU mapping, generate second dense optical inspection pass guided by the SEM-initialized CDU map (KLA-Tencor, US 2019). Monitor production outcomes for closed-loop stability.

Frequently asked questions

In-Line Scatterometry for CD Uniformity — Key Questions Answered

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References

  1. Using Scatterometry to Obtain Measurements of In-Circuit Structures — Advanced Micro Devices, Inc., US 2004
  2. Using Scatterometry to Optimize Circuit Structure Manufacturing Processes — Advanced Micro Devices, Inc., WO 2004
  3. Using Scatterometry to Optimize Circuit Structure Manufacturing Processes — Advanced Micro Devices Inc., EP 2005
  4. Feed Forward Process Control Using Scatterometry for Reticle Fabrication — Advanced Micro Devices, Inc., US 2005
  5. Concurrent Measurement of Critical Dimension and Overlay in Semiconductor Manufacturing — Advanced Micro Devices, Inc., US 2006
  6. Method and Structure for Calibrating Scatterometry-Based Metrology Tool — Advanced Micro Devices, Inc., AU 2003
  7. Method for Process Optimization and Control by Comparison Between 2 or More Measured Scatterometry Signals — KLA-Tencor Corporation, 2008
  8. Integrated Scanning Electron Microscopy and Optical Analysis Techniques for Advanced Process Control — KLA-Tencor Corporation, US 2019 (active)
  9. Method of Determining Critical-Dimension-Related Properties, Inspection Apparatus and Device Manufacturing Method — ASML Netherlands B.V., US 2016 (active)
  10. Method of Determining Critical-Dimension-Related Properties — ASML Netherlands B.V., US 2019 (active)
  11. Method of Determining Control Parameters of a Device Manufacturing Process — ASML Netherlands B.V., US 2025 (active)
  12. Sub-Field Control of Lithographic Process and Associated Apparatus — ASML Netherlands B.V., CN 2022 (active)
  13. Defense System in Advanced Process Control — Taiwan Semiconductor Manufacturing Company, Ltd., US 2012
  14. Method and System for Measuring Critical Dimension and Monitoring Fabrication Uniformity — Hermes Microvision Inc., US 2012
  15. Lithography Line Width Monitor Reflecting Chip-Wide Average Feature Size — LSI Logic Corporation, 2004
  16. Dynamic Metrology Sampling with Wafer Uniformity Control — International Business Machines Corporation, TW 2011
  17. Method Using SCD to Monitor In-Line Product Focus Variation — Shanghai Huali Integrated Circuit Manufacturing Co., 2019
  18. Method of Determining Semiconductor Process Conditions — United Microelectronics Corporation, CN 2007 (active)
  19. Real-Time Optical Dimensional Metrology via Diffractometry for Nanofabrication — Catalan Institute of Nanoscience and Nanotechnology (ICN2), 2020
  20. Compact Optical System Based on Scatterometry for Off-Line and Real-Time Monitoring of Surface Micropatterning Processes — Technische Universität Dresden, 2023
  21. World Intellectual Property Organization (WIPO) — International patent database
  22. European Patent Office (EPO) — EP jurisdiction patent records
  23. SPIE Digital Library — Optical scatterometry and semiconductor metrology literature

All data and statistics on this page are sourced from the references above and from PatSnap's proprietary innovation intelligence platform.

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