Getting started

PhycoSight helps you turn raw microscopy runs into understanding. There are three ways of working with your data, and most workflows move between them.

The three tracks

1. Organize — by where data came from. Every instrument run is a Sample , made of

   Frame s and the Particle s detected in them. You group related samples into a Series (a time series from one origin) and group series under a Campaign (a bounded effort). See [Organizing your data](/docs/organizing-data).

2. Analyze — to understand what you have. Explorer charts and summarizes the data you already hold. Discovery runs compute jobs that surface structure you didn’t know to look for, as an Atlas of

   Constellation s.

3. Curate — to teach the platform. You annotate particles with labels, gather them into collections, assemble those into a class space, and train a classification model from the result.

How they connect

The tracks aren’t islands. A constellation you discover can be promoted into a collection; a collection can be clustered to reveal new constellations; curated collections become the training data for a classifier. The vocabulary is designed to make those bridges obvious — when in doubt, hover any term for a quick definition, or browse the full glossary.

Where to go next

• New here? Read Organizing your data first.
• Want to chart results? See Explorer.
• Ready to build a model? Start with Collections, then Classification.