Prof. Hayden K. Taylor Profile

Prof. Hayden K. Taylor

Associate Professor

SPIE Involvement:

Conference Program Committee | Author

Publications (16)

Proceedings Article | 13 March 2024 Presentation + Paper

Manufacturing of metallic components via computed axial lithography and hydrogel infusion additive manufacturing

Taylor Waddell, Zheng Wang, Rayne Zheng, Hayden Taylor

Proceedings Volume 12898, 128980I (2024) https://doi.org/10.1117/12.3009478

KEYWORDS: Additive manufacturing, Printing, Metals, Hydrogels, Lithography, Mixtures, Viscosity, Polymers, Manufacturing, Digital Light Processing

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Proceedings Article | 13 March 2024 Presentation

Multi-beam phase mask optimization for holographic volumetric additive manufacturing

Hayden Taylor, Chi Chung Li, Joseph Toombs, Vivek Subramanian

Proceedings Volume PC12898, PC1289807 (2024) https://doi.org/10.1117/12.3023424

KEYWORDS: Holography, Additive manufacturing, Volume holography, Source mask optimization, Design, Spatial frequencies, Optical lithography, Lithography, Light absorption, Imaging systems

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Proceedings Article | 13 March 2024 Presentation + Paper

Generalized projection optimization model for tomographic volumetric additive manufacturing

Chi Chung Li, Joseph Toombs, Hayden Taylor, Thomas Wallin

Proceedings Volume 12898, 128980E (2024) https://doi.org/10.1117/12.3008459

KEYWORDS: Tomography, Ray tracing, Refraction, Geometrical optics, Mathematical optimization, Gradient-index optics, Attenuation, Scattering, Additive manufacturing, 3D printing

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Proceedings Article | 13 March 2024 Presentation

Manufacturing of optical elements via computed axial lithography (CAL)

Yaxuan Sun, Joseph Toombs, Chi Chung Li, Jennings Ye, Sophia Arvin, Abrar Khan, Gregoria Millensifer, Sebastian Ramos-Roux, Joseph Benedetti, Hayden Taylor

Proceedings Volume PC12898, PC128980S (2024) https://doi.org/10.1117/12.3008460

KEYWORDS: Optical components, Manufacturing, Printing, Lithography, Lenses, Polymerization, Oxygen, Performance modeling, Optics manufacturing, Objectives

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Proceedings Article | 13 March 2024 Presentation

Roll-to-roll tomographic volumetric additive manufacturing for continuous production of microstructures on long flexible substrates

Joseph Toombs, Hayden Taylor, Chi Chung Li

Proceedings Volume PC12898, PC128980Q (2024) https://doi.org/10.1117/12.3008445

KEYWORDS: Tomography, Additive manufacturing, 3D microstructuring, Printing, Photoresist materials, 3D printing, Polymers, Phase unwrapping, Hydrogels, Glass ceramics

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Proceedings Article | 17 March 2023 Presentation

Computed axial lithography: processing of nanocomposite materials and prospects for fabricating optical elements

Hayden Taylor, Manuel Luitz, Caitlyn Cook, Sophie Jenne, Chi Chung Li, Bastian Rapp, Frederik Kotz-Helmer, Yaxuan Sun, Joseph Toombs

Proceedings Volume PC12433, PC1243309 (2023) https://doi.org/10.1117/12.2661941

KEYWORDS: Lithography, Nanocomposites, Additive manufacturing, Optical components, Printing, Tomography, Surface roughness, Spatial resolution, Silica, Resistance

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Proceedings Article | 5 March 2022 Presentation + Paper

Computational optimization and the role of optical metrology in tomographic additive manufacturing

Martin de Beer, Johanna Schwartz, Hayden Taylor, Maxim Shusteff, Joseph Toombs, Chi Chung Li, Sui Man Luk

Proceedings Volume 12012, 1201207 (2022) https://doi.org/10.1117/12.2610558

KEYWORDS: Polymerization, Refractive index, Tomography, Additive manufacturing, 3D printing, Printing, Metrology, 3D image processing, Image processing, 3D modeling

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Proceedings Article | 5 March 2021 Presentation

Modeling of light propagation in computed axial lithography with photopolymers

Joseph Toombs, Sui Man Luk, Samira Feili, Hossein Heidari, Chi Chung Li, Vishal Bansal, Hayden Taylor, Kevin Coulson, Elyas Goli

Proceedings Volume 11698, 1169807 (2021) https://doi.org/10.1117/12.2580631

KEYWORDS: Printing, Photopolymers, Lithography, 3D modeling, Superposition, Spatial resolution, Solids, Polymers, Oxygen, Optimization (mathematics)

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Proceedings Article | 22 February 2021 Presentation + Paper

Design of a tomographic projection lithography process for roll-to-roll fabrication of 3D microstructures

Hayden Taylor, Joseph Toombs

Proceedings Volume 11610, 116100E (2021) https://doi.org/10.1117/12.2584009

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Proceedings Article | 4 March 2019 Presentation

Support-free direct 3D-printing of millifluidic and microfluidic chips with tunable stiffness through computed axial lithography (Conference Presentation)

Brett Kelly, Indrasen Bhattacharya, Hayden Taylor, Hossein Heidari

Proceedings Volume 10875, 1087509 (2019) https://doi.org/10.1117/12.2508252

KEYWORDS: Lithography, Microfluidics, Printing, Solids, Prototyping, Lead, Optical alignment, Additive manufacturing, Modeling, Fused deposition modeling

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Proceedings Article | 14 May 2018 Presentation

Computed axial lithography: volumetric 3D printing of arbitrary geometries (Conference Presentation)

Indrasen Bhattacharya, Brett Kelly, Maxim Shusteff, Christopher Spadaccini, Hayden Taylor

Proceedings Volume 10656, 106560P (2018) https://doi.org/10.1117/12.2307780

KEYWORDS: 3D printing, Lithography, Photopolymerization, Reconstruction algorithms, Additive manufacturing, Liquids, Anisotropy, Computational imaging, Computed tomography, Tomography

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Proceedings Article | 19 February 2018 Presentation + Paper

Micro-engineering a platform to reconstruct physiology and functionality of the human brain microvasculature in vitro

Hossein Heidari, Hayden Taylor, Yasaman Daghighi

Proceedings Volume 10491, 104910N (2018) https://doi.org/10.1117/12.2291838

KEYWORDS: Brain, Tissues, Collagen, Distortion, In vitro testing, Capillaries, Blood vessels

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A predominant unsolved challenge in tissue engineering is the need of a robust technique for producing vascular networks, particularly when modeling human brain tissue. The availability of reliable in vitro human brain microvasculature models would advance our understanding of its function and would provide a platform for highthroughput drug screening. Current strategies for modeling vascularized brain tissue suffer from limitations such as (1) culturing non-human cell lines, (2) limited multi-cell co-culture, and (3) the effects of neighboring physiologically unrealistic rigid polymeric surfaces, such as solid membranes. We demonstrate a new micro-engineered platform that can address these shortcomings. Specifically, we have designed and prototyped a molding system to enable the precise casting of ~100μm-diameter coaxial hydrogel structures laden with the requisite cells to mimic a vascular lumen. Here we demonstrate that a fine wire with diameter ~130 μm or a needle with outer diameter ~300 μm can be used as a temporary mold insert, and agarose–collagen composite matrix can be cast around these inserts and thermally gelled. When the wire or needle is retracted under the precise positional control afforded by our system, a microchannel is formed which is then seeded with human microvascular endothelial cells. After seven days of culture these cells produce an apparently confluent monolayer on the channel walls. In principle, this platform could be used to create multilayered cellular structures. By arranging a fine wire and a hollow needle coaxially, three distinct zones could be defined in the model: first, the bulk gel surrounding the needle; then, after needle retraction, a cylindrical shell of matrix; and finally, after retraction of the wire, a lumen. Each zone could be independently cell-seeded. To this end, we have also successfully 3D cultured human astrocytes and SY5Y glial cells in our agarose–collagen matrix. Our approach ultimately promises scalable and repeatable production of vascular structures with physiologically realistic mechanical properties.

Proceedings Article | 22 March 2016 Paper

Defectivity prediction for droplet-dispensed UV nanoimprint lithography, enabled by fast simulation of resin flow at feature, droplet, and template scales

Hayden Taylor

Proceedings Volume 9777, 97770E (2016) https://doi.org/10.1117/12.2218757

KEYWORDS: Nanoimprint lithography, Computer simulations, Ultraviolet radiation, Semiconducting wafers, Monte Carlo methods, Process modeling, Anisotropy, Lithography, Convolution, Algorithm development

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Proceedings Article | 3 April 2010 Paper

Towards nanoimprint lithography-aware layout design checking

Hayden Taylor, Duane Boning

Proceedings Volume 7641, 76410U (2010) https://doi.org/10.1117/12.846499

KEYWORDS: Nanoimprint lithography, Polymers, Computer simulations, Semiconducting wafers, Polymethylmethacrylate, Optical lithography, Optical proximity correction, Silicon, Computer aided design, Product engineering

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Proceedings Article | 30 December 2008 Paper

Modeling pattern dependencies in the micron-scale embossing of polymeric layers

Ciprian Iliescu, Ming Ni, Hayden Taylor, Chen Xing, Duane Boning, Yee Cheong Lam

Proceedings Volume 7269, 726909 (2008) https://doi.org/10.1117/12.810732

KEYWORDS: Polymers, Polymethylmethacrylate, Computer simulations, Silicon, Semiconducting wafers, Photomicroscopy, Microfluidics, Neodymium, Resistance, Temperature metrology

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Proceedings Article | 3 October 2008 Paper

Moire fringe method for the measurement of distortions of hot-embossed polymeric substrates

Kamal Youcef-Toumi, Yoon Soon Fatt, Hayden Taylor, Shiguang Li, Zhiguang Xu, Duane Boning

Proceedings Volume 7155, 715528 (2008) https://doi.org/10.1117/12.814582

KEYWORDS: Polymers, Polymethylmethacrylate, Scanners, Image processing, Silicon, Semiconducting wafers, Moire patterns, Glasses, Microfluidics, Manufacturing

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