Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models

Phase imaging is gaining importance due to its applications in fields like biomedical imaging and material characterization. In biomedical applications, it can provide quantitative information missing in label-free microscopy modalities. One of the most prominent methods in phase quantification is the Transport-of-Intensity Equation (TIE). TIE often requires multiple acquisitions at different defocus distances, which is not always feasible in a clinical setting due to hardware constraints. To address this issue, we propose the use of chromatic aberrations to induce the required through-focus images with a single exposure, effectively generating a through-focus stack. Since the defocus distance induced by the aberrations is small, conventional TIE solvers are insufficient to address the resulting artifacts. We propose Zero-Mean Diffusion, a modified version of diffusion models designed for quantitative image prediction, and train it with synthetic data to ensure robust phase retrieval. Our contributions offer an alternative TIE approach that leverages chromatic aberrations, achieving accurate single-exposure phase measurement with white light and thus improving the efficiency of phase imaging. Additionally, we present a new class of diffusion models that are well-suited for quantitative data and have a sound theoretical basis. To validate our approach, we employ a widespread brightfield microscope equipped with a commercially available color camera. We apply our model to clinical microscopy of patients' urine, obtaining accurate phase measurements.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i3.32271
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models

Gabriel della Maggiora, Artur Yakimovich, Thomas Heinis, Luis Alberto Croquevielle et al.
Proceedings of the AAAI Conference on Artificial Intelligence
Advanced X-ray Imaging Techniques
article

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models

Gabriel della Maggiora, Artur Yakimovich, Thomas Heinis, Luis Alberto Croquevielle, Harry Horsley
article en

Abstract

Phase imaging is gaining importance due to its applications in fields like biomedical imaging and material characterization. In biomedical applications, it can provide quantitative information missing in label-free microscopy modalities. One of the most prominent methods in phase quantification is the Transport-of-Intensity Equation (TIE). TIE often requires multiple acquisitions at different defocus distances, which is not always feasible in a clinical setting due to hardware constraints. To address this issue, we propose the use of chromatic aberrations to induce the required through-focus images with a single exposure, effectively generating a through-focus stack. Since the defocus distance induced by the aberrations is small, conventional TIE solvers are insufficient to address the resulting artifacts. We propose Zero-Mean Diffusion, a modified version of diffusion models designed for quantitative image prediction, and train it with synthetic data to ensure robust phase retrieval. Our contributions offer an alternative TIE approach that leverages chromatic aberrations, achieving accurate single-exposure phase measurement with white light and thus improving the efficiency of phase imaging. Additionally, we present a new class of diffusion models that are well-suited for quantitative data and have a sound theoretical basis. To validate our approach, we employ a widespread brightfield microscope equipped with a commercially available color camera. We apply our model to clinical microscopy of patients' urine, obtaining accurate phase measurements.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(3)
The Royal Free Hospital (GB), Center for Advanced Systems Understanding (DE), University College London (GB), Imperial College London (GB)
Agenția Națională pentru Cercetare și Dezvoltare, Bundesministerium für Bildung und Forschung, Sächsisches Staatsministerium für Wissenschaft und Kunst, Agencia Nacional de Investigación y Desarrollo, CHIST-ERA
Openalex Percentile: Top 94%
Advanced X-ray Imaging Techniques
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