Results for “platerecognizer”

Control liquid handling robots, plate readers, pumps, and other lab equipment through a unified Python interface across platforms.

Loads and processes whole-slide pathology images, builds spatial graphs, trains deep learning models, and analyzes multiplexed immunofluorescence data across 160+ slide formats.

Clusters raw detection tickets into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design.

Apply a named refactoring pattern to a website codebase (extract templates, centralize analytics, DRY components)

Implements a complete observability stack with Prometheus metrics, Grafana dashboards, Jaeger distributed tracing, and structured logging, including heartbeat-based absence detection for scheduled jobs on Google Cloud.