Spatial-frequency domain imaging: An emerging depth-varying and wide-field technique for optical property measurement of biological tissues

Z Sun, D Hu, Z Wang, L Xie, Y Ying - Photonics, 2021 - mdpi.com
Measurement of optical properties is critical for understanding light-tissue interaction,
properly interpreting measurement data, and gaining better knowledge of tissue …

Single-pixel image reconstruction from experimental data using neural networks

AL Mur, P Leclerc, F Peyrin, N Ducros - Optics Express, 2021 - opg.optica.org
Single-pixel cameras that measure image coefficients have various promising applications,
in particular for hyper-spectral imaging. Here, we investigate deep neural networks that …

Spatial frequency domain imaging combining profile correction enables accurate real-time quantitative mapping of optical properties of apples

T Jia, S Yu, T Guo, Z Sun, G Chen, G Zhou… - Postharvest Biology and …, 2024 - Elsevier
Spatial frequency domain imaging technology enables non-contact, wide-field quantitative
analysis of optical properties in strong turbid media, thereby enhancing bruise detection in …

Extended Kalman filtering for enhancing a cyclic pattern-updating scheme of single-pixel dynamic fluorescence spatial frequency domain imaging

M Dan, Y Zhang, F Gao - Optics Letters, 2023 - opg.optica.org
A single-pixel imaging technique applied to fluorescence spatial frequency domain imaging
(f-SFDI) brings many positive benefits, but its low frame rate will also lead to severe …

A completion network for reconstruction from compressed acquisition

N Ducros, AL Mur, F Peyrin - 2020 IEEE 17th International …, 2020 - ieeexplore.ieee.org
We consider here the problem of reconstructing an image from a few linear measurements.
This problem has many biomedical applications, such as computerized tomography …

3D denoised completion network for deep single-pixel reconstruction of hyperspectral images

V Pronina, A Lorente Mur, JFPJ Abascal, F Peyrin… - Optics …, 2021 - opg.optica.org
Single-pixel imaging acquires an image by measuring its coefficients in a transform domain,
thanks to a spatial light modulator. However, as measurements are sequential, only a few …

Deep expectation-maximization for image reconstruction from under-sampled poisson data

AL Mur, P Bataille, F Peyrin… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Many biomedical imaging techniques, such as computerized tomography, positron emission
tomography, and optical microscopy, involve reconstruction of an image from a sequence of …

Deep expectation-maximization for single-pixel image reconstruction with signal-dependent noise

AL Mur, F Peyrin, N Ducros - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Image reconstruction from a sequence of a few linear measurements that are corrupted by
signal-dependent normally distributed noise is an inverse problem with many biomedical …

Profile-based intensity and frequency corrections for single-snapshot spatial frequency domain imaging

M Dan, M Liu, W Bai, F Gao - Optics Express, 2021 - opg.optica.org
We have proposed the profile-based intensity and frequency corrections for single-snapshot
spatial frequency domain (SFD) imaging to mitigate surface profile effects on the measured …

Deep neural networks for single-pixel compressive video reconstruction

AL Mur, B Montcel, F Peyrin… - … Optical Imaging II, 2020 - spiedigitallibrary.org
Single-pixel imaging is a paradigm that enables the capture of an image from a single point
detector using a spatial light modulator. This approach is particularly interesting for optical …