Tomographic flow cytometry by digital holography.
Francesco Merola,Pasquale Memmolo,Lisa Miccio,Roberto Savoia,Martina Mugnano,Angelo Fontana,Giuliana d'Ippolito,Angela Sardo,Achille Iolascon,Antonella Gambale,Pietro Ferraro +10 more
TLDR
It is demonstrated that by exploiting the random rolling of cells while they are flowing along a microfluidic channel, it is possible to obtain in-line phase-contrast tomography, if smart strategies for wavefront analysis are adopted.Abstract:
High-throughput single-cell analysis is a challenging task. Label-free tomographic phase microscopy is an excellent candidate to perform this task. However, in-line tomography is very difficult to implement in practice because it requires a complex set-up for rotating the sample and examining the cell along several directions. We demonstrate that by exploiting the random rolling of cells while they are flowing along a microfluidic channel, it is possible to obtain in-line phase-contrast tomography, if smart strategies for wavefront analysis are adopted. In fact, surprisingly, a priori knowledge of the three-dimensional position and orientation of rotating cells is no longer needed because this information can be completely retrieved through digital holography wavefront numerical analysis. This approach makes continuous-flow cytotomography suitable for practical operation in real-world, single-cell analysis and with a substantial simplification of the optical system; that is, no mechanical scanning or multi-direction probing is required. A demonstration is given for two completely different classes of biosamples: red blood cells and diatom algae. An accurate characterization of both types of cells is reported, despite their very different nature and material content, thus showing that the proposed method can be extended by adopting two alternate strategies of wavefront analysis to many classes of cells.read more
Citations
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Journal ArticleDOI
Quantitative phase imaging in biomedicine
TL;DR: This Review presents the main principles of operation and representative basic and clinical science applications of quantitative phase imaging, and aims to provide a critical and objective overview of this dynamic research field.
PatentDOI
Gradient Light Interference Microscopy for 3D Imaging of Unlabeled Specimens
TL;DR: A quantitative phase method that uses low-coherence interferometry for label-free 3D imaging in scattering tissue and is implemented as an add-on module to an existing inverted microscope.
Journal ArticleDOI
Strategies for reducing speckle noise in digital holography
Vittorio Bianco,Pasquale Memmolo,Marco Leo,Silvio Montresor,Cosimo Distante,Melania Paturzo,Pascal Picart,Bahram Javidi,Pietro Ferraro +8 more
TL;DR: A broad discussion about the noise issue in DH is provided, with the aim of covering the best-performing noise reduction approaches that have been proposed so far and quantitative comparisons among these approaches will be presented.
Journal ArticleDOI
Adaptive dynamic range shift (ADRIFT) quantitative phase imaging.
TL;DR: In this article, the authors proposed and demonstrated supersensitive QPI with an expanded dynamic range enabled by adaptive dynamic range shift through a combination of wavefront shaping and dark-field QPI techniques.
Journal ArticleDOI
Deep learning in holography and coherent imaging.
TL;DR: In a discussion of the topic, Yair Rivenson, Yichen Wu, and Aydogan Ozcan explain how once “trained” with appropriate datasets, neural networks can learn to reconstruct images with added benefits such as improved phase recovery and extended depth of field as well as enhanced spatial resolution and superior signal-to-noise ratio.
References
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