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The macula (/ˈmækjʊlə/), in full macula lutea, is an oval-shaped pigmented area in the center of the retina of the human eye and in other animals. The macula in humans has a diameter of around 5.5 mm (0.22 in) and is subdivided into the umbo, foveola, foveal avascular zone, fovea, parafovea, and perifovea areas.
The analysis highlights Structure, Clinical significance and Function as prominent areas in the source structure around Macula.
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 Macula shows recurring relationship patterns in the source. For example, Macula → After, Because, The, There, Zeaxanthin Another extracted example is Macula → In, Structures, The, There, Within. 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.
fovea macular retina center eye clinical mm color foveola degeneration human vision central cones lutea umbo area light 22 visual
TTTA extracted 34 structured relationships around Macula. Examples in this analysis include Macula → FMA → 58637 and Macula → Latin → macula lutea. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Macula | FMA | 58637 | 1.00 | infobox |
| Macula | Latin | macula lutea | 1.00 | infobox |
| Macula | MeSH | D008266 | 1.00 | infobox |
| Macula | Part of | Retina of human eye | 1.00 | infobox |
| Macula | System | Visual system | 1.00 | infobox |
| Macula | TA2 | 6784 | 1.00 | infobox |
| Macula | TA98 | A15.2.04.021 | 1.00 | infobox |
| Macula | is a | oval-shaped pigmented area in the center of the retina of the human eye and other animal eyes | 0.90 | text |
| Macula | is a | disease known as macular degeneration and can sometimes lead to the creation of a macular hole | 0.90 | text |
| Macula | related to Additional images | The | 0.60 | section |
| Macula | related to Additional images | Time-Domain OCT | 0.60 | section |
| Macula | related to Additional images | Domain OCT | 0.60 | section |
The concept neighborhoods around Macula bring nearby vocabulary together. In this analysis, examples include Fovea, Clinical and Macular. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Macula, one of the stronger structural bridges in this analysis connects Macula with Structure. 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 Macula to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Structure, Clinical significance & Function, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Macula · EN edition · Analysis: TopicsToTalkAbout