From individual images to structured batch analysis

Schema before summary

Batch analysis begins with agreement on what a record is. A required set of fields — an identifier, a sample reference, a status and a capture time — makes validation possible and makes every later summary meaningful.

Summaries should be derived, never stored

Totals, status distributions and failure counts should be calculated from the records currently loaded. A figure that outlives its data quickly becomes a figure nobody can reproduce.

• Compute totals from the loaded record set
• Report failure reasons as counts, not as narratives
• Export exactly the records shown after filtering

Partial success is normal

Real files arrive with malformed rows. A batch workflow that reports invalid records individually, while still presenting the valid ones, keeps the work moving without hiding the problems.