We developed multiple computational-driven devices and algorithms to push the speed limit of SRS microspectroscopy and break the tradeoffs between speed and spectral bandwidth, including:

• Compressive spectroscopic SRS microscopy via matrix completion (Light: Science & Applications, 2018, first author)

• Single-shot femtosecond SRS mappping of cell organelles using deep learning (JPC Letters, 2021, first author)

• Spectral sparse sampling through recursive feature elimination (Theranostics, minor revision, first author, preprint)

Combining hardware and algorithm innovations, we have pushed the sensitivity of SRS through deep learning, plasmon enhancement and Raman pre resonance:

• Robust fingerprint SRS imaging by ultrafast delay tuning and spatial-spectral residual learning (Nature Communications, 2021, first author)  

• Single-molecule SRS imaging via plasmonic enhancement and non-local spectroscopic denoising (Nature Communications, 2019, coauthor)

• Ultrasensitive chemical imaging via pre-resonance visible SRS microscopy (Advanced Science, 2021, coauthor)

We develop novel models and algorithms to decipher multiplexed chemical information from spectroscopic chemical images:

• High content SRS imaging of natural metabolites by sparsity-driven spectral unmixing (Science Advances, 2023, first author)

• Resolving fatty acid unsaturation and chain length at single-cell level by mass spec-augmented spectral analysis (Advanced Science, 2023, first author)

• Blood glucose level estimation by modeling single red blood cell transient absorption distribution (Science Advances, 2019, coauthor)

With next-gen capabilities of CCI, we have a broad spectrum of biomedical applications:

• Synthetic biology (Nature Communications, 2021, first author; Advanced Science, 2023, first author; Advanced Science, 2022, coauthor)

• Cancer metabolism (Nature Communications, 2021, first author; Science Advances, 2023, first author)

• Tissue histology (Nature Communications, 2021, first author; Theranostics, minor revision, first author, preprint)

• Molecular virology (In preparation)