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Metallography Patents: Who Leads, Where the Gaps Are 2026

Metallography Patents: Who Leads, Where the Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/metallography-and-microstructure-characterization-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Metals & Alloys
Metallography and microstructure characterization patents: filing trends and open claim space
  • Filing has cooled since 2021. The peak year was 2021 at 7 families; by the 2022 midpoint filings were back down to 3, and the trend line since reads flat to declining rather than growing.
  • China dominates the filing office split. 29 of the tracked records were filed at the Chinese patent office against 8 in the United States and single digits everywhere else, concentrating both prior art and design-around risk in one jurisdiction.
  • Ownership is fragmented, not consolidated. Only four co-assignee pairs exist across 50 families and none of the six most visible assignees filed anything in the latest tracked year, pointing to a field of isolated filers rather than a race between a handful of leaders.
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50
Published Records
36%
Top-5 Share of All Records
-71%
3-Yr Growth (lag-adjusted)
CN
Leading Jurisdiction
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this patent set covers

This landscape tracks 50 patent families filed between 2015 and mid-2026 that combine metallography or EBSD-based microstructure work with sample preparation, grain size measurement, phase quantification, texture analysis or automated imaging, classified under G01N1, G01N23 or G01N33. The core claim territory is material analysis and testing: every one of the 50 records sits in G01N, with image processing (G06T) and data recognition (G06K) appearing as secondary classifications on a minority of filings where automated imaging or machine-vision grain analysis is involved.

Because publication typically lags filing by around 18 months, the 2025 and 2026 counts in the trend chart are undercounts of true filing activity and should be read as provisional rather than as evidence of an accelerating decline.

Filing activity and technology composition, 2015-2026
  1. 1CRRC QINGDAO SIFANG CO LTD5
  2. 2ADVANCED MFG LLC4
  3. 3UES INC4
  4. 4LUCITE INT SPECIALITY POLYMERS & RESINS3
  5. 5NORTHEASTERN UNIV CHINA2
  6. 6XIAMEN GOLDEN EGRET SPECIAL ALLOY2
  7. 7XIAMEN TUNGSTEN CO LTD2
  8. 8HEBEI IRON AND STEEL2
  9. 9GUOBIAO BEIJING TESTING & CERTIFICATION CO LTD1
  10. 10INST OF RES OF IRON & STEEL JIANGSU PROVINCE1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trend and technology composition

Two views of the same 50-family dataset: how filing activity has moved year over year, and how those filings split across IPC subclasses.

A peak in 2021, then a pullback

Filings rose from 3 in 2017 to a peak of 7 in 2021, then fell back to 3 by 2022 and have not recovered. Read the final one or two years as partial given publication lag rather than as a confirmed drop-off.

A peak in 2021, then a pullback0246832017201820192020720212022202320247202512026Most recent year is partial — publication lag means later filings are not yet visible.

Concentrated in G01N, with imaging as a secondary layer

All 50 records classify under G01N (material analysis and testing). Image data processing (G06T, 8 records) and data recognition (G06K, 7) show up where automated imaging or pattern-based grain/phase analysis is claimed, while shaping (B29C), polymer chemistry (C08F, C08L) and grinding (B24B) appear only as incidental secondary classes tied to sample-preparation substrates.

Concentrated in G01N, with imaging as a secondary layerG01N · Material analysis & testing50100.0%G06T · Image data processing & genera…816.0%G06K · Data recognition & presentation714.0%B29C · Shaping of plastics36.0%C08F · Addition polymers (vinyl etc.)24.0%C08L · Polymer compositions24.0%G06F · Electric digital data processi…24.0%B24B · Grinding & polishing12.0%Other612.0%

Shares are the percentage of the 50 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

The most-cited records in this set

Representative filing
GB2551868A2018-01-03

GB2551868A — Colouring method for wrought aluminium alloy welded joint colour metallography

CRRC QINGDAO SIFANG CO., LTD.

Filed by CRRC Qingdao Sifang, this patent claims a two-step colour metallography process: an acid pre-etch using a specific aqueous solution (defined Cl-, H+ and PO4 3- concentration ranges) heated to 55-65C and applied for 50-60 seconds, followed by immersion in a Weck reagent for 5-10 seconds with gentle agitation. The claims are tied to narrow, numerically bounded process parameters rather than the general concept of colour etching.Published 2018-01-03

GB2551868A — patent drawing 1GB2551868A — patent drawing 2
View full record →
Highest-citation patents in the metallography and microstructure dataset
#Publication no.Patent titleCitations
1CN1967197A一种制备铝硅铜系合金金相样品及显示组织的方法30
2CN103913364A薄规格钢铁材料进行电子背散射衍射分析的样品制备方法29
3WO2020223833A1一种快速呈现多晶材料特定晶面分布特征的方法24
4US3805035ADevice for the logical analysis of textures21
5US20170276577A1Colouring method for wrought aluminium alloy welded joint colour metallography15
6CN110514503A一种纯铜试样的制备方法11
7CN105823671A一种中锰汽车用钢原奥氏体晶界的显示方法10
8CN105928767A含镍钢EBSD分析用样品的制备方法9
9US20180080884A1Macrotexture Map Visualizing Texture Heterogeneity in Polycrystalline Parts7
10CN113418946A一种金属钌的高标定率EBSD制样方法6

Citation counts are drawn from within this searched corpus and skew toward older filings; treat them as a measure of influence on later filers, not of current commercial relevance.

Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers say about this field

Three patterns stand out once the filing trend, geography and citation data are read together.

Filing momentum
Peak 2021 = 7, 2022 = 3
families per year

Growth has stalled since the 2021 peak

The filing count roughly halved between the 2021 peak and the 2022 midpoint and has not rebounded since. Combined with publication lag, this reads as a field where the early wave of claims has already been staked out rather than one still building momentum.

Trend based on 50 tracked families
Geographic concentration
China 29 · US 8
receiving-office filings

China is the dominant filing venue by a wide margin

Almost 60% of tracked filings went through the Chinese patent office, with the United States a distant second and Europe, India, the UK and Luxembourg each in single digits. Freedom-to-operate work should weight Chinese prior art heavily regardless of where a product will ultimately sell.

Receiving-office split, 50 records
Citation influence
Top cite count = 30
citations, CN1967197A

Older aluminium-alloy sample-prep patents anchor the citation graph

The most-cited records in this set are older Chinese and international filings on sample preparation for specific alloy systems and EBSD sample prep, rather than recent automated-imaging work. That is consistent with citation counts favouring age over current relevance in a searched corpus.

Top five records by in-corpus citations
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to metallography and microstructure characterization, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the field is still open

Ownership across this dataset is fragmented: most assignees appear once, co-filing is rare, and none of the most visible names show activity in the latest tracked year.

Ownership pattern
4 co-assignee pairs
across 50 families

Almost no joint filing

Only four co-assignee pairs exist in the entire dataset, the strongest being a tungsten-industry pairing that filed twice together. The overwhelming majority of the 50 families are single-assignee filings, which points to a fragmented field of independent filers rather than an emerging alliance structure.

Co-assignee analysis, 50 families
Recent momentum
0 filings in latest year
for tracked leading assignees

Visible names have gone quiet recently

Every assignee in the recent-momentum tracking, including rail-equipment, steel and specialty-alloy filers, shows zero filings in the latest tracked year. That is consistent with the broader post-2021 slowdown and suggests current activity may be concentrated among filers not yet prominent in this set.

Latest-year filings by top assignees
Sector spread
Rail, steel, alloys, energy
represented industries

Filers span heavy industry rather than instrument makers

Assignees include rail rolling-stock manufacturers, steel producers, tungsten/hard-alloy specialists and hydropower operators, more than dedicated metallography-equipment or software vendors. That suggests much of this patenting is defensive or process-specific rather than aimed at selling characterization tools.

Assignee sector review
🔍
Under-claimed sub-areas worth checking before filing
These branches show light overlap with the core G01N filing cluster and are worth a freedom-to-operate check before assuming open space.
Automated EBSD grain-boundary segmentationMachine-vision phase quantificationIn-situ texture analysis during processingPolymer-composite sample-prep etchantsMulti-material colour metallography
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
CRRC Qingdao Sifang Co., Ltd.0
UES INC0
Lucite International Speciality Polymers & Resins0
HBIS Company Limited0
Xiamen Tungsten Co., Ltd.0
Xiamen Golden Egret Special Alloy Co., Ltd.0
Northeastern University (China)0
LI DONGSHENG0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

This landscape is a starting point for freedom-to-operate and whitespace scoping, not a substitute for a full search.

Check citation-heavy prior art before filing

The highest-cited records in this set, including sample-preparation and EBSD-related filings, are the ones most likely to surface in an examiner's search. Review them directly rather than relying on the summary table alone.

Explore citation network in Eureka →

Map the under-claimed sub-areas against your own process

Automated imaging and machine-vision phase work show lighter filing density than core sample-preparation claims. Run a targeted search against your specific process parameters before assuming the space is open.

Run a whitespace search in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about metallography and microstructure patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Metallography and Microstructure Characterization covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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