🔬 Science 13h ago

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Phys.org
Phys.org science news
View Channel →
Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware
Source ↗ 👁 0 💬 0
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial intelligence (AI) approach that identifies the morphology of nanoparticles in liquid using data from standard nanoparticle tracking analysis (NTA), a widely used technique for particle sizing. The method achieved classification accuracies exceeding 80% for non-spherical nanoparticles without requiring modification of existing instruments.

Comments (0)

Sign in to join the discussion

More Like This

'Unique event': Solar eclipse fever fills empty Spain
Phys.org - latest science and technology news stories · 1h ago
Dry mRNA vaccine patches reveal design rules for room-temperature storage
Medical Xpress - latest medical and health news stories · 2h ago
How foreign direct investments affect employment and income in rural areas of the US
Phys.org - latest science and technology news stories · 2h ago
Most veterans and service members who die by firearm suicide never disclose their intent
Medical Xpress - latest medical and health news stories · 2h ago
Investigational drug that targets DNA damage help could treat Alzheimer's disease
Medical Xpress - latest medical and health news stories · 2h ago
How climate change affects interactions between owls and their prey
Phys.org - latest science and technology news stories · 2h ago