Technology

GraFuture™

Reduced Graphene
Oxide Grid

To overcome the bottleneck in cryo-EM sample preparation, we developed a new type of reduced graphene oxide grid (GraFuture™), using it to achieve a better reproducibility and efficiency of specimen preparation.

MicroED

Stage-camera synchronization
for conventional CryoEM

We developed a stage-camera synchronization scheme and automatic data collection software-eTasED for conventional Cryo-EM, making it possible to solve small molecule of protein structures in ultrahigh-resolution using a low-end electron microscope and improving the general applicability of MicroED.

CryoNet

Cryo-EM Modeling
with Deep Neural Network

We are developing a new differentiable neural network based method (CryoNet) to directly identify the 3D atomic model from cryo-EM density map in a few hours without any human interference.