Incorporating a physical model differentiating in-focus and out-of-focus emissions eliminates background fluorescence without affecting genuine signals. With this added to the sparse deconvolution pipeline, we preserve weak signals and minimize artifacts while achieving a sub-70 nm resolution.

Our new paper published on npj Regenerative Medicine provides new insight to the role of macrophages on mammary stem cell fate determination and mammary homeostasis maintanence.

We report an artificial intelligence powered resistive skin that can disentangle a single biosignal into multiple useful biometric data.

A study led by University of Liverpool scientists has revealed a new way of using synthetic biology to improve crop growth, meeting a significant challenge to increase crop productivity in a changing climate with a growing population.