Volumetric Lissajous Confocal Microscopy
Deguchi, T.; Bianchini, P.; Palazzolo, G.; Oneto, M.; Diaspro, A.; Duocastella, M.
Show abstract
Dynamic biological systems present challenges to existing three-dimensional (3D) optical microscopes because of their continuous temporal and spatial changes. Most techniques are based on rigid architectures, as in confocal microscopy, where a laser beam is sequentially scanned at a predefined spatial sampling rate and pixel dwell time. Here, we developed volumetric Lissajous confocal microscopy to achieve unsurpassed 3D scanning speed with a tunable sampling rate. The system combines an acoustic liquid lens for continuous axial focus translation with a resonant scanning mirror. Accordingly, the excitation beam follows a dynamic Lissajous trajectory enabling sub-millisecond acquisitions of image series containing 3D information at a sub-Nyquist sampling rate. By temporal accumulation and/or advanced interpolation algorithms, volumetric imaging rate is selectable using a post-processing step at the desired spatiotemporal resolution for events of interest. We demonstrate multicolor and calcium imaging over volumes of tens of cubic microns with acquisition speeds up to 5 kHz.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- An evaluation of multi-excitation-wavelength standing-wave fluorescence microscopy (TartanSW) to improve sampling density in studies of the cell membrane and cytoskeleton 96%
- Light-Sheet Fluorescence Microscopy with Scanning Non-diffracting Beams 96%
- Ultra-thin fluorocarbon foils optimize multiscale imaging of three-dimensional native and optically cleared specimens 96%
Similar papers in this journal
- A high-resolution microscopy system for biological studies of cold-adapted species under physiological conditions 96%
- Deep-learning-assisted SICM for enhanced real-time imaging of nanoscale biological dynamics 96%
- Nanoscopic Structural Fluctuations of Disassembling Microtubules Revealed by Label-Free Super-Resolution Microscopy 94%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.