Abstract
We demonstrate the use of a compressive sampling algorithm for on-chip fluorescent imaging of sparse objects over an ultra-large field-of-view (>8 cm2) without the need for any lenses or mechanical scanning. In this lensfree imaging technique, fluorescent samples placed on a chip are excited through a prism interface, where the pump light is filtered out by total internal reflection after exciting the entire sample volume. The emitted fluorescent light from the specimen is collected through an on-chip fiber-optic faceplate and is delivered to a wide field-of-view opto-electronic sensor array for lensless recording of fluorescent spots corresponding to the samples. A compressive sampling based optimization algorithm is then used to rapidly reconstruct the sparse distribution of fluorescent sources to achieve ~10 µm spatial resolution over the entire active region of the sensor-array, i.e., over an imaging field-of-view of >8 cm2. Such a wide-field lensless fluorescent imaging platform could especially be significant for high-throughput imaging cytometry, rare cell analysis, as well as for micro-array research.
Highlights
IntroductionCompressive sampling ( known as compressive sensing) [1,2,3] is a recently emerging field that in general aims to recover a function (i.e., a signal) from many fewer measurements/samples than normally required according to the Shannon’s sampling theorem
Compressive sampling [1,2,3] is a recently emerging field that in general aims to recover a function from many fewer measurements/samples than normally required according to the Shannon’s sampling theorem
When compared to our earlier lensfree fluorescent imaging report [19], our new results present an improvement of ~5 fold in spatial resolution without a trade-off in FOV, which we attribute to the use of the fiber-optic faceplate and the compressive sampling based numerical processing
Summary
Compressive sampling ( known as compressive sensing) [1,2,3] is a recently emerging field that in general aims to recover a function (i.e., a signal) from many fewer measurements/samples than normally required according to the Shannon’s sampling theorem. Another recent achievement of this theory in photonics was the use of compressive decoding in holographic reconstruction of a 3D object volume [14,15] In this manuscript, we introduce a new on-chip fluorescent imaging modality that utilizes a compressive sampling based algorithm to achieve ~10μm spatial resolution for imaging of sparse objects over an ultra-large field of view of >8cm without the use of any lenses or mechanical scanning. When compared to our earlier lensfree fluorescent imaging report [19], our new results present an improvement of ~5 fold in spatial resolution without a trade-off in FOV, which we attribute to the use of the fiber-optic faceplate and the compressive sampling based numerical processing With this new on-chip platform, we demonstrate lensfree fluorescent imaging of vertically stacked microchannels, all in parallel, further increasing the throughput of fluorescent on-chip imaging. Such a compressive decoding approach, would need to be carefully tested in terms of achievable localization accuracy and potential artifacts for multiple fluorescent points located within a diffraction limited spot
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