Research Topic · Peer-Reviewed

Visual Inspection

Visual inspection is the examination of an object, sample, or area using sight, either with the naked eye or with aids such as magnifiers, microscopes, or imaging instruments, to detect features, defects, or abnormalities. It is a fundamental method of assessment and quality control used across many fields, from man…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 67× across the literature 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Visual inspection is the examination of an object, sample, or area using sight, either with the naked eye or with aids such as magnifiers, microscopes, or imaging instruments, to detect features, defects, or abnormalities. It is a fundamental method of assessment and quality control used across many fields, from manufacturing and materials testing to clinical screening and laboratory analysis. In scientific and medical settings, visual inspection often serves as a first-line evaluation, identifying changes in appearance, structure, or condition that may warrant further investigation or measurement. As a method relevant to scientific research and data collection, visual inspection supports screening, diagnosis, and the interpretation of structural and imaging data. Research in this subject area includes work on screening practices, such as cervical cancer screening uptake, and on imaging and tissue-analysis techniques that improve the ability to examine biological structures, including methods for clearing tissue to enhance optical assessment. This page gathers peer-reviewed, open-access research relevant to visual inspection and its role in screening, assessment, and the examination of samples and structures.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 12 articles above have been cited 67 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Visual Inspection, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.