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Aptina Imaging Corporation was a company that sold CMOS imaging products. Its CMOS sensors were used in the Nikon V1 (10.1 MP, CX format, 16.9x17.9 mm), Nikon J1, and Nikon V2. By 2009, Aptina had a 16% share of the CMOS image sensors market, with revenue estimated at $671 million. The company was acquired in 2014 by ON Semiconductor
The analysis highlights History, Companies, Products and Technology as prominent areas in the source structure around Aptina.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Aptina shows recurring relationship patterns in the source. For example, Aptina → Aptina Imaging, Aptina Imaging2014, Aptina's, Aug, Avago Technologies, CMOS, Idaho, JPL, Micron, Micron Imaging Group, Micron Technology, Nampa, ON Semiconductor, Shipped Another extracted example is Aptina → Aptinas, CMOS, DR, Image Sensor, In, Inch, ISO, Micron, PB-100, PB-159, Photobit, Predecessors, The, The Nikon. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
cmos sensors imaging image micron company semiconductor products 2008 sensor 2009 2014 corporation 16 division pixel photobit sold used nikon
TTTA extracted 50 structured relationships around Aptina. Examples in this analysis include Aptina → Founded → 2008; 18 years ago (2008) and Aptina → Headquarters → San Jose, California, United States. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Aptina | Founded | 2008; 18 years ago (2008) | 1.00 | infobox |
| Aptina | Headquarters | San Jose, California, United States | 1.00 | infobox |
| Aptina | Industry | Semiconductors | 1.00 | infobox |
| Aptina | Key people | Taner Ozcelik, Senior Vice President, Aptina Imaging Business of ON Semiconductor | 1.00 | infobox |
| Aptina | Number of employees | 650 | 1.00 | infobox |
| Aptina | Number of locations | China, Finland, Germany, Japan, Korea, India, Norway, Singapore, Slovenia, Taiwan, United Kingdom | 1.00 | infobox |
| Aptina | Parent | Onsemi | 1.00 | infobox |
| Aptina | Products | CMOS image sensors, Image processors | 1.00 | infobox |
| Aptina | Type | Subsidiary | 1.00 | infobox |
| Aptina | Website | aptina.com | 1.00 | infobox |
| Aptina | related to External links | ON Semiconductor | 0.60 | section |
| Aptina | related to External links | Aptina Corporate Fact Sheet | 0.60 | section |
The concept neighborhoods around Aptina bring nearby vocabulary together. In this analysis, examples include Imaging, Semiconductor and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Aptina, one of the stronger structural bridges in this analysis connects Aptina with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Aptina to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Products & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Aptina · EN edition · Analysis: TopicsToTalkAbout