High-speed large-scale 4D activities mapping of moving C. elegans by deep-learning-enabled light-field microscopy on a chip

We report a novel fusion of microfluidics and light-field microscopy, to achieve high-speed 4D (space + time) imaging of moving C. elegans on a chip. Our approach combines automatic chip-based worm loading/ compartmentalization/flushing/reloading with instantaneous deep-learning light-field imaging of behaving worm. Taken together, we realized intoto image-based screening of wild-type and uncoordinated-type worms at a volumetric imaging rate of 33 Hz, with sustained observation of 1 worm per minute and totally 42 worms per hour. Through four-dimensionally visualizing the dynamics of all the worms at an ultra-high throughput of 84000 image volumes in an hour, we can quantitatively analyze their behaviors as well as the neural activities, and correlate the phenotypes with the neuron functions. The different types of worms can be readily identified as a result of the high-throughput activity mapping. Our approach shows great potential for various lab-on-a-chip biological studies, such as high-throughput embryo sorting and cell growth assays.

Automated summary

The novel fusion of microfluidics and light-field microscopy allows for high-speed 4D imaging of moving C. elegans, providing a new approach for studying neural activities.