Coming soon: Workshop on Computational Microscopy at IEEE ICIP 2026 (13–17 Sept, Tampere, Finland). Details

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Article published in Cell Reports Physical Science

We introduce ENCODE, an implicit neural representation framework for scalable electron microscopy data compression that preserves high-fidelity structural details and supports temporal frame interpolation and denoising.

RESEARCH

Two articles published in IEEE ICASSP 2026 Our group presented two papers at ICASSP 2026 in Barcelona, Spain, covering topics in X-ray computed laminography and … RESEARCH Article published in Patterns We presents a data-driven solution for X-ray spectro-tomography that bypasses the need for manual markers or extensive … RESEARCH

Commentary published in Photon Science

We discuss the transformative potential of Agentic AI, an emerging paradigm that automates entire research workflows to revolutionize material characterization in synchrotron science.

RESEARCH

Article published in IJCV

We propose a novel continuous low-rank factorization (CLoRF) by integrating two neural representations into the matrix factorization, capturing spatial and spectral information, respectively.

RESEARCH

Article published in ACS Nano

By employing super-resolved nanoscale X-ray computed tomography (Nano-CT), scanning probe nanodiffraction imaging (SPNDI), and advanced data-driven statistical analysis, we unveil the ubiquitous …

RESEARCH

Article published in Cell

We describe two complementary TEMPO (transmembrane electrical measurements performed optically) voltage-sensing technologies that capture neural oscillations up to 100 Hz. Fiber-optic TEMPO achieves …

RESEARCH

Article published in IEEE TBME

We propose a Lorentzian-model Informed Neural Representation (LINR) framework for high-quality CEST mapping. LINR employs a self-supervised neural architecture embedding the Lorentzian equation, the …

RESEARCH