1,513 research outputs found
Image scanning lensless fiber-bundle endomicroscopy
Fiber-based confocal endomicroscopy has shown great promise for
minimally-invasive deep-tissue imaging. Despite its advantages, confocal
fiber-bundle endoscopy inherently suffers from undersampling due to the spacing
between fiber cores, and low collection efficiency when the target is not in
proximity to the distal fiber facet. Here, we demonstrate an adaptation of
image-scanning microscopy (ISM) to lensless fiber bundle endoscopy, doubling
the spatial sampling frequency and significantly improving collection
efficiency. Our approach only requires replacing the confocal detector with a
camera. It improves the spatial resolution for targets placed at a distance
from the fiber tip, and addresses the fundamental challenge of
aliasing/pixelization artifacts
K-space interpretation of image-scanning-microscopy
In recent years, image-scanning microscopy (ISM, also termed
pixel-reassignment microscopy) has emerged as a technique that improves the
resolution and signal-to-noise compared to confocal and widefield microscopy by
employing a detector array at the image plane of a confocal laser scanning
microscope. Here, we present a k-space analysis of coherent ISM, showing that
ISM is equivalent to spotlight synthetic-aperture radar (SAR) and analogous to
oblique-illumination microscopy. This insight indicates that ISM can be
performed with a single detector placed in the k-space of the sample, which we
numerically demonstrate
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