A new organic HTL material incorporating dibenzofuran improves both efficiency and lifetime of quantum-dot light-emitting diodes (QLEDs). The material achieved a high external quantum efficiency of 25.7% and a device lifetime of approximately 1.46 million hours, significantly longer than conventional devices.
The study demonstrates VR's potential to bridge gaps in root phenotyping, enabling more accurate manual reconstructions in challenging datasets. VRoot expands the scope of root phenotyping to include diverse soil types and moisture conditions, benefiting plant breeders and crop scientists.
LKNet, a deep learning tool, addresses challenges in rice panicle counting by integrating large-kernel convolutional blocks and a novel loss function. The model demonstrates superior performance and robustness across multiple crop datasets and growth stages.
Cryo-optical microscopy captures high-resolution, quantitatively accurate snapshots of dynamic cellular processes at precisely selected timepoints. This technique enables the observation of transient biological events with unprecedented temporal accuracy.