Dr. Kevin de Haan Profile

Dr. Kevin de Haan

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Author

Publications (25)

Proceedings Article | 4 October 2024 Presentation

Deep learning-enabled virtual staining of label-free autopsy tissue sections

Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Yijie Zhang, Sepehr Hamidi, Anatoly Urisman, Tal Haran, W. Dean Wallace, Jonathan Zuckerman, Aydogan Ozcan

Proceedings Volume PC13118, PC131180X (2024) https://doi.org/10.1117/12.3027873

KEYWORDS: Tissues, Biological samples, Nervous system, Education and training, Neural networks, COVID 19, Autofluorescence

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Proceedings Article | 4 October 2024 Presentation

Neural network-based virtual staining of defocused autofluorescence images of label-free tissue

Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC13118, PC1311808 (2024) https://doi.org/10.1117/12.3027365

KEYWORDS: Nervous system, Neural networks, Autofluorescence, Education and training, Performance modeling, Microscopes, Lung

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Proceedings Article | 16 March 2023 Presentation

Label-free, in vivo virtual histology of skin using reflectance confocal microscopy and deep learning (Conference Presentation)

Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip Scumpia, Aydogan Ozcan

Proceedings Volume PC12391, PC123910U (2023) https://doi.org/10.1117/12.2648150

KEYWORDS: Skin, In vivo imaging, Reflectivity, Confocal microscopy, Biopsy, Tissues, Neural networks, Image resolution

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Proceedings Article | 6 March 2023 Presentation

Deep learning-based virtual staining of defocused autofluorescence images of label-free tissue

Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

Proceedings Volume PC12373, PC123730H (2023) https://doi.org/10.1117/12.2648092

KEYWORDS: Tissues, Neural networks, Performance modeling, Lung, Image acquisition

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Proceedings Article | 6 March 2023 Presentation

Virtual stain-to-stain transformations via cascaded deep neural networks

Xilin Yang, Bijie Bai, Yuzhu Li, Yijie Zhang, Tairan Liu, Kevin de Haan, Aydogan Ozcan

Proceedings Volume PC12371, PC123710C (2023) https://doi.org/10.1117/12.2648101

KEYWORDS: Neural networks, Tissues, Data modeling, Kidney, Image quality, Diagnostics, Biopsy

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Proceedings Article | 6 March 2023 Presentation

Deep learning-based virtual staining of histological tissues

Kevin de Haan, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12369, PC1236903 (2023) https://doi.org/10.1117/12.2666035

KEYWORDS: Tissues, Neural networks, Multiplexing, Diagnostics

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Proceedings Article | 6 March 2023 Presentation

Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12368, PC123680J (2023) https://doi.org/10.1117/12.2648173

KEYWORDS: Tissues, Breast, Auto-fluorescence imaging, Transform theory, Receptors, Quantitative analysis, Microscopes, Luminescence, Diagnostics

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Proceedings Article | 4 October 2022 Presentation

Virtual immunohistochemical (IHC) staining of unlabeled tissue using deep learning (Conference Presentation)

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin De Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

Proceedings Volume PC12204, PC122040O (2022) https://doi.org/10.1117/12.2632652

KEYWORDS: Tissues, Breast, Tumors, Transform theory, Receptors, Quantitative analysis, Neural networks, Diagnostics, Breast cancer

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Proceedings Article | 4 October 2022 Presentation

Deep learning-enabled, non-invasive virtual histology of skin using reflectance confocal microscopy (Conference Presentation)

Jingxi Li, Jason Garfinkel, Xiaoran Zhang, Di Wu, Yijie Zhang, Kevin de Haan, Hongda Wang, Tairan Liu, Bijie Bai, Yair Rivenson, Gennady Rubinstein, Philip Scumpia, Aydogan Ozcan

Proceedings Volume PC12204, PC122040N (2022) https://doi.org/10.1117/12.2632602

KEYWORDS: Skin, Reflectivity, Confocal microscopy, In vivo imaging, Tissues, Biopsy, Tumors, Standards development, Image resolution, Image analysis

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Proceedings Article | 7 March 2022 Presentation

Transformation of H&E stained tissue into special stains using deep learning

Kevin De Haan, Yijie Zhang, Jonathan Zuckerman, Tairan Liu, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan

Proceedings Volume PC11954, PC119540D (2022) https://doi.org/10.1117/12.2607987

KEYWORDS: Tissues, Diagnostics, Biopsy, Silver, Kidney

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Proceedings Article | 5 March 2021 Presentation

Holographic polarization microscopy using deep learning

Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan

Proceedings Volume 11653, 116530C (2021) https://doi.org/10.1117/12.2580286

KEYWORDS: Polarization, Microscopy, Holography, Polarizers, Polarized microscopy, Pathology, Optical design, Microscopes, Gallium nitride

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Proceedings Article | 5 March 2021 Presentation

Screening of sickle cell disease using a smartphone-based microscope and deep-learning

Kevin De Haan, Hatice Ceylan Koydemir, Yair Rivenson, Derek Tseng, Elizabeth Van Dyne, Lissette Bakic, Doruk Karinca, Kyle Liang, Megha Ilango, Esin Gumustekin, Aydogan Ozcan

Proceedings Volume 11632, 116320B (2021) https://doi.org/10.1117/12.2579425

KEYWORDS: Microscopes, Single crystal X-ray diffraction, Image segmentation, Blood, Neural networks, Image classification, Diagnostics

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Proceedings Article | 5 March 2021 Presentation

Deep learning-based multiplexed virtual staining of unlabeled tissue for micro-structured stain blending

Kevin De Haan, Yijie Zhang, Yair Rivenson, Jingxi Li, Aydogan Ozcan

Proceedings Volume 11655, 116550A (2021) https://doi.org/10.1117/12.2579426

KEYWORDS: Tissues, Multiplexing, Neural networks, Visualization, Standards development, Silver, Inspection, Chemical analysis

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Proceedings Article | 5 March 2021 Presentation

Label-free detection of Giardia lamblia cysts in water samples using a field-portable imaging flow cytometer and deep learning

Zoltán Göröcs, David Baum, Fang Song, Kevin De Haan, Hatice Ceylan Koydemir, Yunzhe Qiu, Zilin Cai, Thamira Skandakumar, Spencer Peterman, Miu Tamamitsu, Aydogan Ozcan

Proceedings Volume 11632, 116320G (2021) https://doi.org/10.1117/12.2579482

KEYWORDS: Water, Safety, Pathogens, Luminescence, Holography, Holograms, Convolutional neural networks, Contamination, Computational imaging, Chlorine

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Proceedings Article | 5 March 2021 Presentation

Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning

Cagatay Isil, Kevin De Haan, Hatice Ceylan Koydemir, Zoltán Göröcs, David Baum, Fang Song, Thamira Skandakumar, Esin Gumustekin, Aydogan Ozcan

Proceedings Volume 11655, 116550B (2021) https://doi.org/10.1117/12.2579674

KEYWORDS: Holography, Statistical analysis, Holograms, 3D image reconstruction, Water, Photosynthesis, Particles, Organisms, Ocean optics, Microfluidics

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Proceedings Article | 20 August 2020 Presentation

Deep learning-based holographic reconstruction for color imaging of pathology slides

Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan

Proceedings Volume 11469, 114690E (2020) https://doi.org/10.1117/12.2567515

KEYWORDS: Holography, Pathology, Color imaging, Imaging systems, Microscopy, Tissues, 3D image reconstruction, Digital holography, RGB color model, Image processing

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Proceedings Article | 20 August 2020 Presentation

Resolution enhancement in coherent imaging systems using a deep neural network

Tairan Liu, Kevin Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan

Proceedings Volume 11469, 114690N (2020) https://doi.org/10.1117/12.2567519

KEYWORDS: Imaging systems, Image resolution, Coherence imaging, Resolution enhancement technologies, Neural networks, Super resolution, Image enhancement, Holography, Optimization (mathematics), Image analysis

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Proceedings Article | 20 August 2020 Presentation

Virtual staining of unlabeled quantitative phase images using deep learning

Yair Rivenson, Tairan Liu, Zhensong Wei, Kevin de Haan, Yibo Zhang, Aydogan Ozcan

Proceedings Volume 11469, 114691J (2020) https://doi.org/10.1117/12.2567503

KEYWORDS: Tissues, Microscopes, Microscopy, Diagnostics, Phase imaging, Digital holography, Holograms, Holography, Skin, Kidney

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Proceedings Article | 20 August 2020 Poster + Presentation

Sickle cell disease screening from thin blood smears using a smartphone-based microscope and deep learning

Kevin de Haan, Hatice Koydemir, Yair Rivenson, Derek Tseng, Elizabeth Van Dyne, Lissette Bakic, Doruk Karinca, Kyle Liang, Megha Ilango, Esin Gumustekin, Aydogan Ozcan

Proceedings Volume 11469, 114691M (2020) https://doi.org/10.1117/12.2567508

KEYWORDS: Blood, Microscopes, Single crystal X-ray diffraction, Image segmentation, Neural networks, Image quality, Image enhancement, Diagnostics, Image quality standards, Medical diagnostics

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Proceedings Article | 20 August 2020 Presentation

3D reconstruction of a hologram with brightfield contrast using deep learning

Yichen Wu, Yilin Luo, Gunvant Chaudhari, Yair Rivenson, Kevin De Haan, Ayfer Calis, Aydogan Ozcan

Proceedings Volume 11469, 1146919 (2020) https://doi.org/10.1117/12.2567300

KEYWORDS: Holograms, Holography, Microscopy, 3D modeling, Signal to noise ratio, 3D image reconstruction, Stereoscopy, Microscopes, Speckle, Time metrology

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Proceedings Article | 20 August 2020 Presentation

Multiplexed and micro-structured virtual staining of unlabeled tissue using deep learning

Kevin de Haan, Yijie Zhang, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan

Proceedings Volume 11469, 114690D (2020) https://doi.org/10.1117/12.2567507

KEYWORDS: Tissues, Multiplexing, Neural networks, Chemical analysis, Chemical reactions, Statistical analysis, Microscopy, Kidney, Silver, Diagnostics

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Proceedings Article | 20 August 2020 Presentation

Deep learning-enabled resolution enhancement of scanning electron microscopy images

Kevin de Haan, Zachary Ballard, Yair Rivenson, Yichen Wu, Aydogan Ozcan

Proceedings Volume 11469, 114690P (2020) https://doi.org/10.1117/12.2567504

KEYWORDS: Scanning electron microscopy, Image resolution, Resolution enhancement technologies, Image enhancement, Electron beams, Super resolution, Image quality, Neural networks, Nanoparticles, Spatial frequencies

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Proceedings Article | 11 March 2020 Presentation

Enhancing resolution in coherent microscopy using deep learning (Conference Presentation)

Kevin de Haan, Tairan Liu, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan

Proceedings Volume 11249, 1124904 (2020) https://doi.org/10.1117/12.2545429

KEYWORDS: Resolution enhancement technologies, Microscopy, Imaging systems, Image resolution, Coherence imaging, Data acquisition, Data processing, Image enhancement, Gallium nitride, Diffraction

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Proceedings Article | 11 March 2020 Presentation

Cross-modality deep learning brings bright-field image contrast to digital holographic microscopy (Conference Presentation)

Yichen Wu, Yilin Luo, Gunvant Chaudhari, Yair Rivenson, Ayfer Calis, Kevin de Haan, Aydogan Ozcan

Proceedings Volume 11249, 112490R (2020) https://doi.org/10.1117/12.2546880

KEYWORDS: Digital holography, Holography, Microscopy, 3D image reconstruction, Digital imaging, Holograms, Digital recording, Speckle, 3D image processing, Wave propagation interference

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Proceedings Article | 9 March 2020 Presentation

Deep learning enables color holographic microscopy of pathology slides from a single hologram (Conference Presentation)

Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan

Proceedings Volume 11230, 112300T (2020) https://doi.org/10.1117/12.2546956

KEYWORDS: Holography, Microscopy, Pathology, Holograms, Digital holography, Biomedical optics, Imaging systems, RGB color model, 3D image reconstruction, Gallium nitride

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Showing 5 of 25 publications

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