We are excited to share our latest publication in ACS Nano, titled “Deep-Learning Inversion Maps Arbitrary Design Images to Low-Cost, Efficient Nanofabrication.” This work was completed through an international collaboration between the University of Georgia and several leading research groups in China, including collaborators from Chongqing University, Zhejiang University, and the Eastern Institute of Technology, Ningbo. This collaboration brought together expertise in nanofabrication,...

Website-ready release draft We are excited to share our latest publication in Sensors and Actuators Reports, titled “Detection of Bacterial Signatures from Culture Supernatants Using Surface-Enhanced Raman Spectroscopy and Machine Learning.” Rapid and reliable bacterial identification is important for clinical diagnostics, food safety, veterinary medicine, and environmental monitoring. Traditional culture-based methods remain highly valuable but can require long processing times, while...

SpectraGuru™, an open-source ecosystem for Raman and surface-enhanced Raman spectroscopy analysis, has released a major platform update that significantly expands its preprocessing, analytics, machine-learning, database, and toolbox capabilities. The updated platform is now available at spectraguru.org and provides researchers with a broader set of browser-based tools for spectral analysis, including new smoothing and baseline-correction methods, expanded machine-learning classification...