Publications

Publications

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Kristina Monakhova; Vi Tran; Grace Kuo; Laura Waller

Untrained networks for compressive lensless photography Journal Article

In: Opt. Express, vol. 29, no. 13, pp. 20913–20929, 2021.

Links | BibTeX | Tags: compressive imaging, compressive photography, high speed video, hyperspectral imaging, Hyperspectral imaging; Image quality; Imaging systems; Optical imaging; Phase imaging; Three dimensional imaging, learning-based

Henry Pinkard; Hratch Baghdassarian; Adriana Mujal; Ed Roberts; Kenneth H Hu; Daniel Haim Friedman; Ivana Malenica; Taylor Shagam; Adam Fries; Kaitlin Corbin; others

Learned adaptive multiphoton illumination microscopy for large-scale immune response imaging Journal Article

In: Nature communications, vol. 12, no. 1, pp. 1–14, 2021.

Links | BibTeX | Tags: learning-based, microscopy, multiphoton

Michael Kellman; Kevin Zhang; Eric Markley; Jon Tamir; Emrah Bostan; Michael Lustig; Laura Waller

Memory-efficient Learning for Large-Scale Computational Imaging Journal Article

In: IEEE Transactions on Computational Imaging, vol. 6, pp. 1403-1414, 2020.

Links | BibTeX | Tags: algorithms, computational imaging, experimental design, learning-based, LED array, memory efficient, memory-efficient, physics-based

Michael Kellman

Physics-based Learning for Large-scale Computational Imaging PhD Thesis

EECS Department, University of California, Berkeley, 2020.

Abstract | Links | BibTeX | Tags: algorithms, computational imaging, experimental design, learning-based, LED array, memory efficient, memory-efficient, physics-based

Emrah Bostan; Reinhard Heckel; Michael Chen; Michael Kellman; Laura Waller

Deep Phase Decoder: Self-calibrating phase microscopy with an untrained deep neural network Journal Article

In: Optica, vol. 7, no. 6, pp. 559-562, 2020.

Links | BibTeX | Tags: algorithms, learning-based, LED array, measurement diversity, phase imaging, physics-based, self-calibration

Regina Eckert; Michael Kellman; Laura Waller

Physics-based learning for measurement diversity in 3D refractive index microscopy Proceedings Article

In: Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII, pp. 112450X, International Society for Optics and Photonics 2020.

Links | BibTeX | Tags: 3D imaging, experimental design, learning-based, measurement diversity, phase imaging, pupil coding

Kevin Zhang; Michael Kellman; Emrah Bostan; Laura Waller

3D fluorescence deconvolution with deep priors Proceedings Article

In: Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVII, pp. 112450N, International Society for Optics and Photonics 2020.

BibTeX | Tags: 3D imaging, deconvolution, fluorescence imaging, learning-based

Michael Kellman; Emrah Bostan; Michael Lustig; Laura Waller

Data-driven experimental design for computational imaging Proceedings Article

In: Quantitative Phase Imaging VI, pp. 1124916, International Society for Optics and Photonics 2020.

BibTeX | Tags: experimental design, learning-based, LED array, phase imaging

Kristina Monakhova; Joshua Yurtsever; Grace Kuo; Nick Antipa; Kyrollos Yanny; Laura Waller

Learned reconstructions for practical mask-based lensless imaging Journal Article

In: Optics express, vol. 27, no. 20, pp. 28075–28090, 2019.

Links | BibTeX | Tags: diffuser, learning-based, lensless imaging, physics-based

Kristina Monakhova; Joshua Yurtsever; Grace Kuo; Nick Antipa; Kyrollos Yanny; Laura Waller

Unrolled, model-based networks for lensless imaging Journal Article

In: 2019.

Links | BibTeX | Tags: diffuser, learning-based, lensless imaging, physics-based

Michael Kellman; Emrah Bostan; Nicole A Repina; Laura Waller

Physics-based learned design: Optimized coded-illumination for quantitative phase imaging Journal Article

In: IEEE Transactions on Computational Imaging, vol. 5, no. 3, pp. 344–353, 2019.

Links | BibTeX | Tags: algorithm, experimental design, learning-based, phase imaging, physics-based

Kristina Monakhova; Nick Antipa; Laura Waller

Learning for lensless mask-based imaging Proceedings Article

In: Computational Optical Sensing and Imaging, pp. CTu3A–2, Optical Society of America 2019.

Links | BibTeX | Tags: diffuser, learning-based, lensless imaging, physics-based

Michael Kellman; Emrah Bostan; Michael Chen; Laura Waller

Data-driven design for Fourier ptychographic microscopy Proceedings Article

In: 2019 IEEE International Conference on Computational Photography (ICCP), pp. 1–8, IEEE 2019.

Links | BibTeX | Tags: computational imaging, experimental design, high throughput, learning-based, measurement diversity, physics-based, super resolution

Stuart Sherwin; Andrew Neureuther; Patrick Naulleau

EUV mask characterization with actinic scatterometry Proceedings Article

In: Ronse, Kurt G; Hendrickx, Eric; Naulleau, Patrick P; Gargini, Paolo A; Itani, Toshiro (Ed.): International Conference on Extreme Ultraviolet Lithography 2018, pp. 122 – 135, International Society for Optics and Photonics SPIE, 2018.

Links | BibTeX | Tags: EUV, learning-based, lithography, Reflectometry, Scatterometry

Emrah Bostan; Ulugbek S Kamilov; Laura Waller

Learning-based image reconstruction via parallel proximal algorithm Journal Article

In: IEEE Signal Processing Letters, vol. 25, no. 7, pp. 989–993, 2018.

Links | BibTeX | Tags: algorithms, fluorescence imaging, learning-based, regularization

Laura Waller; Lei Tian

Computational imaging: Machine learning for 3D microscopy Online

Nature 523, 416-417 2015, visited: 24.04.2020.

Links | BibTeX | Tags: 3D imaging, learning-based