High-throughput 3D imaging of multiple macro-scale organs at cellular resolution by compressed-sensing light-sheet microscopy

Abstract

High-throughput 3D imaging of multiple organs and organisms at cellular resolution is a recurring challenge in statistical experiments. Here we report on a computational light-sheet microscopy achieving high-throughput high-resolution mapping of multiple macro-scale organs. Through combining a dual-side confocally-scanned Bessel light-sheet illumination with a content-aware compressed sensing (CACS) computation, our approach yields 3D images with high, isotropic spatial resolution and rapid acquisition over two-order-of-magnitude faster than conventional 3D microscopy implementations. And we designed a holder suitable for multi-sample imaging to avoid wasting time during switching samples when imaging a batch of biological samples. This multi-sample holding module improves the switching time to 1s per sample, providing notably higher throughput for batch samples imaging. In addition, we can analyze the imaging results in different application requirements, such as accurately region segmentation, nuclei counting, etc., which have played an important role in the research of biomedical issues.