Publications
You can also find my articles on my Google Scholar profile.
2025
16. Transcranial photoacoustic tomography de-aberrated using boundary elements
Karteekeya Sastry, Yousuf Aborahama, Yilin Luo, Yang Zhang, Manxiu Cui, Rui Cao, Geng Ku, Lihong V. Wang
IEEE Transcations on Medical Imaging, accepted (2025)
We develop an acoustic solver based on the boundary-element method (BEM) to model the skull and de-aberrate the images.
Karteekeya Sastry, Yousuf Aborahama, Yilin Luo, Yang Zhang, Manxiu Cui, Rui Cao, Geng Ku, Lihong V. Wang
IEEE Transcations on Medical Imaging, accepted (2025)
We develop an acoustic solver based on the boundary-element method (BEM) to model the skull and de-aberrate the images.
2024
15. Optical-resolution parallel ultraviolet photoacoustic microscopy for slide-free histology
Rui Cao, Yilin Luo, Jingjing Zhao, Yide Zhang, Qifa Zhou, Adam Le Da Zerda, Lihong V. Wang
Science Advances, 10(50), eado0518 (2024)
We present parallel ultraviolet photoacoustic microscopy (PUV-PAM) with simultaneous scanning of eight optical foci to acquire histology-like images of slide-free fresh specimens, improving the ultraviolet PAM imaging speed limited by low laser repetition rates.
Rui Cao, Yilin Luo, Jingjing Zhao, Yide Zhang, Qifa Zhou, Adam Le Da Zerda, Lihong V. Wang
Science Advances, 10(50), eado0518 (2024)
We present parallel ultraviolet photoacoustic microscopy (PUV-PAM) with simultaneous scanning of eight optical foci to acquire histology-like images of slide-free fresh specimens, improving the ultraviolet PAM imaging speed limited by low laser repetition rates.
14. Full-wave image reconstruction in transcranial photoacoustic computed tomography using a finite element method
Yilin Luo, Hsuan-Kai Huang, Karteekeya Sastry, Peng Hu, Xin Tong, Joseph Kuo, Yousuf Aborahama, Shuai Na, Umberto Villa, Mark. A. Anastasio, Lihong V. Wang
IEEE Transcations on Medical Imaging, accepted (2024)
We propose an efficient discrete imaging model based on finite element discretization to facilitate accurate whole-brain simulations with improved speed.
Yilin Luo, Hsuan-Kai Huang, Karteekeya Sastry, Peng Hu, Xin Tong, Joseph Kuo, Yousuf Aborahama, Shuai Na, Umberto Villa, Mark. A. Anastasio, Lihong V. Wang
IEEE Transcations on Medical Imaging, accepted (2024)
We propose an efficient discrete imaging model based on finite element discretization to facilitate accurate whole-brain simulations with improved speed.
13. De-aberration for transcranial photoacoustic computed tomography through an adult human skull
Yousuf Aborahama, Karteekeya Sastry, Manxiu Cui, Yang Zhang, Yilin Luo, Rui Cao, Lihong V. Wang
Arkiv (2024)
We report the first successful experimental demonstration of the de-aberration of PACT images through an ex-vivo adult human skull using a homogeneous elastic model for the skull.
Yousuf Aborahama, Karteekeya Sastry, Manxiu Cui, Yang Zhang, Yilin Luo, Rui Cao, Lihong V. Wang
Arkiv (2024)
We report the first successful experimental demonstration of the de-aberration of PACT images through an ex-vivo adult human skull using a homogeneous elastic model for the skull.
2023
12. A method for the geometric calibration of ultrasound transducer arrays with arbitrary geometries
Karteekeya Sastry, Yang Zhang, Peng Hu, Yilin Luo, Xin Tong, Shuai Na, Lihong V. Wang
Photoacoustics, 32, 100520 (2023)
We present a geometric calibration method that is applicable to a wide range of PACT systems.
Karteekeya Sastry, Yang Zhang, Peng Hu, Yilin Luo, Xin Tong, Shuai Na, Lihong V. Wang
Photoacoustics, 32, 100520 (2023)
We present a geometric calibration method that is applicable to a wide range of PACT systems.
11. Single-shot 3D photoacoustic computed tomography with a densely packed array for transcranial functional imaging
[Rui Cao*, Yilin Luo*], Jinhua Xu, Xiaofei Luo, Ku Geng, Yousuf Aborahama, Manxiu Cui, Samuel Davis, Shuai Na, Xin Tong, Cindy Liu, Karteek Sastry, Konstatin Maslov, Peng Hu, Yide Zhang, Li Lin, Yang Zhang, Lihong V. Wang
ArXiv (2023)
We have engineered a state-of-the-art PACT system that features a densely packed hemispherical ultrasonic transducer array for human transcranial imaging.
[Rui Cao*, Yilin Luo*], Jinhua Xu, Xiaofei Luo, Ku Geng, Yousuf Aborahama, Manxiu Cui, Samuel Davis, Shuai Na, Xin Tong, Cindy Liu, Karteek Sastry, Konstatin Maslov, Peng Hu, Yide Zhang, Li Lin, Yang Zhang, Lihong V. Wang
ArXiv (2023)
We have engineered a state-of-the-art PACT system that features a densely packed hemispherical ultrasonic transducer array for human transcranial imaging.
10. Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy
Rui Cao, Scott D. Nelson, Samuel Davis, Yu Liang, Yilin Luo, Yide Zhang, Brooke Crawford, Lihong V. Wang
Nature biomedical engineering, 7(2), 124-134 (2023)
We show that real-time three-dimensional contour-scanning of tissue via ultraviolet photoacoustic microscopy in reflection mode can be used to intraoperatively evaluate undecalcified and decalcified thick bone specimens, without the need for tissue sectioning.
Rui Cao, Scott D. Nelson, Samuel Davis, Yu Liang, Yilin Luo, Yide Zhang, Brooke Crawford, Lihong V. Wang
Nature biomedical engineering, 7(2), 124-134 (2023)
We show that real-time three-dimensional contour-scanning of tissue via ultraviolet photoacoustic microscopy in reflection mode can be used to intraoperatively evaluate undecalcified and decalcified thick bone specimens, without the need for tissue sectioning.
9. Optical-resolution photoacoustic microscopy with a needle-shaped beam
Rui Cao, Jingjing Zhao, Lei Li, Lin Du, Yide Zhang, Yilin Luo, Laiming Jiang, Samuel Davis, Qifa Zhou, Adam de la Zerda, Lihong V. Wang
Nature photonics, 17(1), 89-95 (2023)
We propose needle-shaped beam photoacoustic microscopy, which can extend the depth of field to around a 28-fold Rayleigh length via customized diffractive optical elements.
Rui Cao, Jingjing Zhao, Lei Li, Lin Du, Yide Zhang, Yilin Luo, Laiming Jiang, Samuel Davis, Qifa Zhou, Adam de la Zerda, Lihong V. Wang
Nature photonics, 17(1), 89-95 (2023)
We propose needle-shaped beam photoacoustic microscopy, which can extend the depth of field to around a 28-fold Rayleigh length via customized diffractive optical elements.
2021
8. Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Yijie Zhang, Tairan Liu, Manmohan Singh, Ege Çetintaş, Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Ozcan
Light: Science & Applications, 10(1), 155 (2021)
We present a deep learning-based image reconstruction framework that can generate swept-source OCT (SS-OCT) images using undersampled spectral data, without any spatial aliasing artifacts.
Yijie Zhang, Tairan Liu, Manmohan Singh, Ege Çetintaş, Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Ozcan
Light: Science & Applications, 10(1), 155 (2021)
We present a deep learning-based image reconstruction framework that can generate swept-source OCT (SS-OCT) images using undersampled spectral data, without any spatial aliasing artifacts.
7. Recurrent neural network-based volumetric fluorescence microscopy
Luzhe Huang, Hanlong Chen, Yilin Luo, Yair Rivenson, Aydogan Ozcan
Light: Science & Applications, 10(1), 62 (2021)
We report a deep learning-based volumetric image inference framework that uses 2D images that are sparsely captured by a standard wide-field fluorescence microscope at arbitrary axial positions within the sample volume.
Luzhe Huang, Hanlong Chen, Yilin Luo, Yair Rivenson, Aydogan Ozcan
Light: Science & Applications, 10(1), 62 (2021)
We report a deep learning-based volumetric image inference framework that uses 2D images that are sparsely captured by a standard wide-field fluorescence microscope at arbitrary axial positions within the sample volume.
6. Deep-Learning-based virtual refocusing of images using an engineered point-spread function
Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan
ACS Photonics, 8(7), 2174-2182 (2021)
We present a virtual refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF).
Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan
ACS Photonics, 8(7), 2174-2182 (2021)
We present a virtual refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF).
5. Single-shot autofocusing of microscopy images using deep learning
[Yilin Luo*, Luzhe Huang*], Yair Rivenson, Aydogan Ozcan
ACS Photonics, 8(2), 625-638 (2021)
We demonstrate a deep learning-based offline autofocusing method, termed Deep-R, that is trained to rapidly and blindly autofocus a single-shot microscopy image of a specimen that is acquired at an arbitrary out-of-focus plane.
[Yilin Luo*, Luzhe Huang*], Yair Rivenson, Aydogan Ozcan
ACS Photonics, 8(2), 625-638 (2021)
We demonstrate a deep learning-based offline autofocusing method, termed Deep-R, that is trained to rapidly and blindly autofocus a single-shot microscopy image of a specimen that is acquired at an arbitrary out-of-focus plane.
2019
4. Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Yichen Wu, Yair Rivenson, Hongda Wang, Yilin Luo*, Eyal Ben-David, Laurent A. Bentolila, Christian Pritz, Aydogan Ozcan
Nature methods, 16(12), 1323-1331 (2019)
We show a deep neural network can be trained to virtually refocus a two-dimensional fluorescence image onto user-defined three-dimensional (3D) surfaces within the sample.
Yichen Wu, Yair Rivenson, Hongda Wang, Yilin Luo*, Eyal Ben-David, Laurent A. Bentolila, Christian Pritz, Aydogan Ozcan
Nature methods, 16(12), 1323-1331 (2019)
We show a deep neural network can be trained to virtually refocus a two-dimensional fluorescence image onto user-defined three-dimensional (3D) surfaces within the sample.
3. Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram
[Yichen Wu*, Yilin Luo*], Gunvant Chaudhari, Yair Rivenson, Ayfer Calis, Kevin De Haan, Aydogan Ozcan.
Light: Science & Applications, 8(1), 25 (2019)
We demonstrate that cross-modality deep learning using a generative adversarial network (GAN) can endow holographic images of a sample volume with bright-field microscopy contrast, combining the volumetric imaging capability of holography with the speckle- and artifact-free image contrast of incoherent bright-field microscopy.
[Yichen Wu*, Yilin Luo*], Gunvant Chaudhari, Yair Rivenson, Ayfer Calis, Kevin De Haan, Aydogan Ozcan.
Light: Science & Applications, 8(1), 25 (2019)
We demonstrate that cross-modality deep learning using a generative adversarial network (GAN) can endow holographic images of a sample volume with bright-field microscopy contrast, combining the volumetric imaging capability of holography with the speckle- and artifact-free image contrast of incoherent bright-field microscopy.
2018
2. Motility-based label-free detection of parasites in bodily fluids using holographic speckle analysis and deep learning
Yibo Zhang, Hatice Ceylan Koydemir, Michelle M Shimogawa, Sener Yalcin, Alexander Guziak, Tairan Liu, Ilker Oguz, Yujia Huang, Bijie Bai, Yilin Luo, Yi Luo, Zhensong Wei, Hongda Wang, Vittorio Bianco, Bohan Zhang, Rohan Nadkarni, Kent Hill, Aydogan Ozcan
Light: Science & Applications, 7(1), 108 (2018)
A motility-based label-free computational imaging platform is developed to rapidly detect motile parasites in optically dense bodily fluids by utilizing the locomotion of the parasites as a specific biomarker and endogenous contrast mechanism.
Yibo Zhang, Hatice Ceylan Koydemir, Michelle M Shimogawa, Sener Yalcin, Alexander Guziak, Tairan Liu, Ilker Oguz, Yujia Huang, Bijie Bai, Yilin Luo, Yi Luo, Zhensong Wei, Hongda Wang, Vittorio Bianco, Bohan Zhang, Rohan Nadkarni, Kent Hill, Aydogan Ozcan
Light: Science & Applications, 7(1), 108 (2018)
A motility-based label-free computational imaging platform is developed to rapidly detect motile parasites in optically dense bodily fluids by utilizing the locomotion of the parasites as a specific biomarker and endogenous contrast mechanism.
2017
1. Label-free brainwide visualization of senile plaque using cryo-micro-optical sectioning tomography
[Yilin Luo*, Anle Wang*], Mengmeng Liu, Tian Lei, Xiaochuan Zhang, Zhaobing Gao, Hualiang Jiang, Hui Gong, Jing Yuan
Optics Letters, 42(21), 4247-4250 (2017)
We develop cryo-micro-optical sectioning tomography (cryo-MOST) to capture intrinsic fluorescence distribution of senile plaques at a micrometer-level resolution in the whole brain.
[Yilin Luo*, Anle Wang*], Mengmeng Liu, Tian Lei, Xiaochuan Zhang, Zhaobing Gao, Hualiang Jiang, Hui Gong, Jing Yuan
Optics Letters, 42(21), 4247-4250 (2017)
We develop cryo-micro-optical sectioning tomography (cryo-MOST) to capture intrinsic fluorescence distribution of senile plaques at a micrometer-level resolution in the whole brain.
Updated on Jan, 2025