High-resolution quantum-enhanced phase imaging of cells

Journal Article (2026)
Author(s)

Alberto Paniate (Istituto Nazionale di Ricerca Metrologica)

Giuseppe Ortolano (University of Florence, Sezione di Firenze, Istituto Nazionale di Ricerca Metrologica)

Sarika Soman (TU Delft - Applied Sciences)

Marco Genovese (Istituto Nazionale di Ricerca Metrologica)

Ivano Ruo-Berchera (Istituto Nazionale di Ricerca Metrologica)

Research Group
ImPhys/Pereira group
DOI related publication
https://doi.org/10.1364/OPTICA.575944 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
ImPhys/Pereira group
Journal title
Optica
Issue number
3
Volume number
13
Pages (from-to)
375-385
Downloads counter
33
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Abstract

Recovering both amplitude and phase information from a system is a fundamental goal of optical imaging. At the same time, it is crucial to operate at low photon doses to avoid altering the sample, particularly in biological applications. Quantum imaging provides a powerful route to extract more information per photon than classical techniques, which are ultimately limited by shot-noise. However, the trade-off between quantum noise reduction and spatial resolution has long been regarded as a major obstacle to the application of quantum techniques to small cellular and sub-cellular structures, where they could offer the greatest benefits. Here, we overcome this limitation by demonstrating sub-shot-noise quantitative phase imaging of biological cells based on the transport-of-intensity equation, enabling high-fidelity, label-free imaging of key cellular and sub-cellular features. We achieve high-resolution phase imaging limited only by the numerical aperture, while simultaneously obtaining a resolution-independent quantum advantage. Unlike other quantum imaging approaches, our method operates in a quasi-single-shot, wide-field configuration, retrieves both phase and amplitude information, and does not rely on interferometric measurements, making it intrinsically fast and stable. These results pave the way for the immediate application of sub-shot-noise imaging in biological microscopy.

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