Fanglin Liu

@article{Chien:24,

title = {Space-time reconstruction for lensless imaging using implicit neural representations},

author = {Tiffany Chien and Ruiming Cao and Fanglin Linda Liu and Leyla A. Kabuli and Laura Waller},

url = {https://opg.optica.org/oe/abstract.cfm?URI=oe-32-20-35725},

doi = {10.1364/OE.530480},

year  = {2024},

date = {2024-09-01},

journal = {Opt. Express},

volume = {32},

number = {20},

pages = {35725--35732},

publisher = {Optica Publishing Group},

abstract = {Many computational imaging inverse problems are challenged by noise, model mismatch, and other imperfections that decrease reconstruction quality. For data taken sequentially in time, instead of reconstructing each frame independently, space-time algorithms simultaneously reconstruct multiple frames, thereby taking advantage of temporal redundancy through space-time priors. This helps with denoising and provides improved reconstruction quality, but often requires significant computational and memory resources. Designing effective but flexible temporal priors is also challenging. Here, we propose using an implicit neural representation to model dynamics and act as a computationally tractable and flexible space-time prior. We demonstrate this approach on video captured with a lensless imager, DiffuserCam, and show improved reconstruction results and robustness to noise compared to frame-by-frame methods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{yanny2020,

title = {Miniscope3D: optimized single-shot miniature 3D fluorescence microscopy},

author = {Kyrollos Yanny and Nick Antipa and William Liberti and Sam Dehaeck and Kristina Monakhova and Fanglin Linda Liu and Konlin Shen and Ren Ng and Laura Waller},

url = {https://www.nature.com/articles/s41377-020-00403-7},

doi = {https://doi.org/10.1038/s41377-020-00403-7},

year  = {2020},

date = {2020-10-02},

journal = {Light: Science & Applications},

volume = {9},

number = {171},

abstract = {Miniature fluorescence microscopes are a standard tool in systems biology. However, widefield miniature microscopes capture only 2D information, and modifications that enable 3D capabilities increase the size and weight and have poor resolution outside a narrow depth range. Here, we achieve the 3D capability by replacing the tube lens of a conventional 2D Miniscope with an optimized multifocal phase mask at the objective’s aperture stop. Placing the phase mask at the aperture stop significantly reduces the size of the device, and varying the focal lengths enables a uniform resolution across a wide depth range. The phase mask encodes the 3D fluorescence intensity into a single 2D measurement, and the 3D volume is recovered by solving a sparsity-constrained inverse problem. We provide methods for designing and fabricating the phase mask and an efficient forward model that accounts for the field-varying aberrations in miniature objectives. We demonstrate a prototype that is 17 mm tall and weighs 2.5 grams, achieving 2.76 μm lateral, and 15 μm axial resolution across most of the 900 × 700 × 390 μm3 volume at 40 volumes per second. The performance is validated experimentally on resolution targets, dynamic biological samples, and mouse brain tissue. Compared with existing miniature single-shot volume-capture implementations, our system is smaller and lighter and achieves a more than 2× better lateral and axial resolution throughout a 10× larger usable depth range. Our microscope design provides single-shot 3D imaging for applications where a compact platform matters, such as volumetric neural imaging in freely moving animals and 3D motion studies of dynamic samples in incubators and lab-on-a-chip devices.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{LindaLiu:20,

title = {Fourier DiffuserScope: single-shot 3D Fourier light field microscopy with a diffuser},

author = {Fanglin Linda Liu and Grace Kuo and Nick Antipa and Kyrollos Yanny and Laura Waller},

url = {http://www.opticsexpress.org/abstract.cfm?URI=oe-28-20-28969},

doi = {10.1364/OE.400876},

year  = {2020},

date = {2020-09-01},

journal = {Opt. Express},

volume = {28},

number = {20},

pages = {28969--28986},

publisher = {OSA},

abstract = {Light field microscopy (LFM) uses a microlens array (MLA) near the sensor plane of a microscope to achieve single-shot 3D imaging of a sample without any moving parts. Unfortunately, the 3D capability of LFM comes with a significant loss of lateral resolution at the focal plane. Placing the MLA near the pupil plane of the microscope, instead of the image plane, can mitigate the artifacts and provide an efficient forward model, at the expense of field-of-view (FOV). Here, we demonstrate improved resolution across a large volume with Fourier DiffuserScope, which uses a diffuser in the pupil plane to encode 3D information, then computationally reconstructs the volume by solving a sparsity-constrained inverse problem. Our diffuser consists of randomly placed microlenses with varying focal lengths; the random positions provide a larger FOV compared to a conventional MLA, and the diverse focal lengths improve the axial depth range. To predict system performance based on diffuser parameters, we, for the first time, establish a theoretical framework and design guidelines, which are verified by numerical simulations, and then build an experimental system that achieves < 3 µm lateral and 4 µm axial resolution over a 1000 × 1000 × 280 µm3 volume. Our diffuser design outperforms the MLA used in LFM, providing more uniform resolution over a larger volume, both laterally and axially.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kuo2020chip,

title = {On-chip fluorescence microscopy with a random microlens diffuser},

author = { Grace Kuo and Fanglin Linda Liu and Irene Grossrubatscher and Ren Ng and Laura Waller},

url = {https://doi.org/10.1364/OE.382055},

doi = {10.1364/OE.382055},

year  = {2020},

date = {2020-03-09},

journal = {Optics Express},

volume = {28},

number = {6},

pages = {8384--8399},

publisher = {Optical Society of America},

keywords = {},

pubstate = {published},

tppubtype = {article}

}