KEYWORDS: Organisms, Microscopes, Tomography, Algorithm development, 3D modeling, Detection and tracking algorithms, 3D tracking, 3D image processing, Reconstruction algorithms, Muscles
It is challenging to study behavior of and track freely-moving model organisms using conventional 3D microscopy techniques. To overcome motion artifacts and prevent the organism from leaving the field of view (FOV), existing techniques require paralyzing or otherwise immobilizing the organism. Here, we demonstrate hemispheric Fourier light field tomography, featuring a parabolic objective that enables synchronized multi-view fluorescence imaging over ~2pi steradians at up to 120 fps and across multi-millimeter 3D FOVs. Our method is not only able to track the 6D pose of freely-moving zebrafish and fruit fly larvae, but also other properties such as heartbeat, fin motion, jaw motion, and muscle contractions. We also demonstrate simultaneous multi-organism imaging.
“Anyone who uses a microscope has likely noticed the limitation of the trade-off between the field of view and the resolution”. To acquire highly resolved images at large fields of view, existing techniques typically record sequential images at different positions and then digitally stitch composite images. There are alternatives to this mechanical scanning procedure, such as structured illumination microscopy or Fourier ptychography that record sequential images at varying illuminations prevent mechanical scanning for high-resolution image composites. However, all of these approaches require sequential images and thus compromise speed, temporal resolution and experimental throughput. Here we present the Multi-Camera Array Microscope (MCAM), which is a microscope system that utilizes an array of many synchronized cameras, each with an individual imaging lens, for simultaneous image capture. The MCAM enables enhanced imaging capabilities and novel applications in various scientific and medical fields, by combining the images acquired from each individual camera-lens pair.
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