We're excited about this brand-new #RShiny-powered web app developed by Professor Andrew Rate's team @ioauwa.bsky.social al to easily visualize polymer spectra from the FLOPP/FLOPP-e libraries without instrument software!

www.plastiverse.org/tools/compan...

Mapping the invisible world of #microplastics?
Try #OpenSpecy, #siMPle, and #FLOPP-E (with its brand-new RShiny viewer) - open tools that turn raw FTIR/Raman spectra into clear polymer IDs.

Which spectral tool do you use most?

🔗 www.plastiverse.org/tools?_resou...

#PlasticPollution #Spectroscopy

We're excited about this brand-new #RShiny-powered web app developed by Professor Andrew Rate's team
@ioauwa.bsky.social
to easily visualize polymer spectra from the FLOPP/FLOPP-e libraries without instrument software!

www.plastiverse.org/tools/compan...

Low-cost Portable Detector — Nile Red staining + YOLOv8 deep learning on Raspberry Pi with a digital microscope, 385 nm UV, and an optical filter. Rapid in-field counts & classification.
#AI #YOLOv8 #RaspberryPi #OpenHardware

Lighting Up for Learning — a microplastics separation + fluorescence detection method (Nile Red) designed for secondary students. Hands-on, low-cost, and great for community monitoring of local sediments.
#NileRed #CitizenScience #Education