We introduce an innovative MCAM architecture using a 6x8 array of 48 lenses and sensors for simultaneous 0.624 gigapixel imaging within a few centimeters, delivering near-cellular resolution. This enables 3D video recording and radiometric fluorescence imaging of organisms using stereoscopic capture and appropriate filters. Such a feature proves advantageous when conducting combined investigations into organism behavior and functional fluorescence measurements. Moreover, the MCAM is equipped to perform birefringent imaging by incorporating suitable polarizers. We demonstrate the multimodal imaging capacity of this system using a variety of specimens, notably Drosophila, and zebrafish.
“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.
Conventional microscopy limits how much information we can capture about microscopic specimens. In particular, there is a tradeoff between field of view (FOV) and resolution. Here, we present a new parallelized microscope that can image up to 16 gigapixels over wide FOVs at micrometer resolutions. Our multi-camera array microscope (MCAM) consists of 48 micro-cameras, packed closely together to directly image different areas in parallel. We will demonstrate 2D and 3D brightfield, differential phase contrast (DPC), and fluorescence imaging with various specimens.
We present a novel approach, based on the use of an array of cameras with custom optics, which can capture snapshot stereoscopic gigapixel images across 1cm2 area at 1-micrometer half-pitch resolution. Our system uses a large space-bandwidth product objective lens to form an intermediate image, which is captured by 96 micro-cameras arranged in a flat array. Each camera records a 10-megapixel image from a unique section of the sample, which are then stitched to produce the final composite. Our system is well suited for applications in digital pathology and in vitro cell-cultures imaging.
We present a gigapixel-scale multi-aperture microscope capable of measuring a sample’s 3D height profile over multi-centimeter-scale fields of view with a series of single synchronized camera snapshots. Exploiting the overlap redundancy in our multi-aperture camera array microscope, we developed a novel, end-to-end photogrammetric reconstruction algorithm that simultaneously calibrates the cameras’ 3D positions and poses, stitches the acquired images, and generates a coregistered, pixel-wise 3D height map of the sample. Our work opens the door to video-rate 3D monitoring of dynamic scenes at micrometer-scale resolutions and centimeter-scale fields of view.
We propose and demonstrate a novel a compressive sensing swept source optical coherence tomography (SSOCT) system that enables high speed images to be taken while maintaining the high resolution offered from a large bandwidth sweep.
Conventional SSOCT systems sweep the optical frequency of a laser ω(t) to determine the depth of the reflectors at a given lateral location. A scatterer located at delay τ appears as a sinusoid cos (ω(t)τ ) at the photodetector. The finite optical chirp rate and the speed of analog to digital and digital to analog converters limit the acquisition rate of an axial scan. The proposed acquisition modality enables much faster image acquisition rates by interrogating the beat signal at randomly selected optical frequencies while preserving resolution and depth of field.
The system utilizes a randomly accessible laser, a modulated grating Y-branch laser, to sample the interference pattern from a scene at randomly selected optical frequencies over an optical bandwidth of 5 THz , corresponding to a resolution of 30 μm in air. The depth profile is then reconstructed using an l1 minimization algorithm with a LASSO constraint. Signal-dependent noise sources, shot noise and phase noise, are analyzed and taken into consideration during the recovery. Redundant dictionaries are used to improve the reconstruction of the depth profile. A compression by a factor of 10 for sparse targets up to a depth of 15 mm in noisy environments is shown.
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