Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models
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arXiv
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| Format: | Preprint |
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2024
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| author | della Maggiora, Gabriel Croquevielle, Luis Alberto Horsley, Harry Heinis, Thomas Yakimovich, Artur |
| author_facet | della Maggiora, Gabriel Croquevielle, Luis Alberto Horsley, Harry Heinis, Thomas Yakimovich, Artur |
| contents | 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. To address this issue, we propose to use 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. Moreover, 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_04388 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models della Maggiora, Gabriel Croquevielle, Luis Alberto Horsley, Harry Heinis, Thomas Yakimovich, Artur Image and Video Processing Artificial Intelligence Optics 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. To address this issue, we propose to use 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. Moreover, 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. |
| title | Single Exposure Quantitative Phase Imaging with a Conventional Microscope using Diffusion Models |
| topic | Image and Video Processing Artificial Intelligence Optics |
| url | https://arxiv.org/abs/2406.04388 |