papers

Publications (7)

physics.optics2026

Tunable supercontinuum in multimode fiber via bending-induced dispersion modification

Li-Yu Yu, Honghao Cao, Kunzan Liu +4

Nonlinear pulse propagation in multimode fibers (MMFs) offers a compact, low-cost route to broadband, tunable femtosecond light, but most control schemes act by changing the spatia…

physics.optics2024

Deep and Dynamic Metabolic and Structural Imaging in Living Tissues

Kunzan Liu, Honghao Cao, Kasey Shashaty +13

Label-free imaging through two-photon autofluorescence (2PAF) of NAD(P)H allows for non-destructive and high-resolution visualization of cellular activities in living systems. Howe…

physics.optics2023

Spectral-temporal-spatial customization via modulating multimodal nonlinear pulse propagation

Tong Qiu, Honghao Cao, Kunzan Liu +5

Multimode fibers (MMFs) have recently reemerged as attractive avenues for nonlinear effects due to their high-dimensional spatiotemporal nonlinear dynamics and scalability for high…

physics.optics2023

High-Fidelity and High-Speed Wavefront Shaping by Leveraging Complex Media

Li-Yu Yu, Sixian You

Achieving high-precision light manipulation is crucial for delivering information through complex media with high fidelity. However, existing spatial light modulation devices face…

physics.optics2025

Self-localized ultrafast pencil beam for volumetric multiphoton imaging

Honghao Cao, Li-Yu Yu, Kunzan Liu +7

The formation of organized optical states in multidimensional systems is crucial for understanding light-matter interaction and advancing light-shaping technologies. Here, we repor…

physics.optics2023

Roadmap on Deep Learning for Microscopy

Giovanni Volpe, Carolina Wählby, Lei Tian +72

Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…

cs.CV2020

Deep Semantic Matching with Foreground Detection and Cycle-Consistency

Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu +3

Establishing dense semantic correspondences between object instances remains a challenging problem due to background clutter, significant scale and pose differences, and large intr…