Broadly Tunable Quantum Enhanced Raman Microscopy for Advancing Bioimaging
Dmitrii Akatev, Yijian Meng, Jonathan Brewer, Maria Chekhova, Ulrik L. Andersen, Mikael Lassen
TL;DR
This work addresses the shot-noise limit in stimulated Raman scattering microscopy by introducing a quantum-enhanced platform that uses amplitude-squeezed Stokes light. By generating a bright amplitude-squeezed Stokes beam with a pulsed OPA in a PPLN waveguide and combining it with a tunable Raman pump, the authors achieve broadband access from $1000-3100 cm^{-1}$ and demonstrate a $3.6$ dB noise reduction with a 51% SNR improvement in pork muscle tissue. The study extends QE-SRS to both fingerprint and CH-stretch spectral regions and reports robust, band-dependent enhancements across multiple vibrational markers, including proteins and lipids. These results point to higher sensitivity, faster acquisition, and reduced photodamage for label-free bioimaging, with potential for real-time clinical applications and deeper molecular discrimination.
Abstract
Stimulated Raman scattering (SRS) microscopy has emerged as a powerful technique for probing the spatiotemporal dynamics of molecular bonds with exceptional sensitivity, resolution, and speed. However, classically, its performance remains fundamentally constrained by optical shot noise, which imposes a strict limit on detection sensitivity and speed. Here, we demonstrate a quantum-enhanced SRS microscopy platform that circumvents this barrier by harnessing amplitude-squeezed light. Specifically, we generate a Stokes beam with $5.2~\mathrm{dB}$ of amplitude squeezing using traveling-wave optical parametric amplification in second-order nonlinear waveguides, and combine it with a tunable coherent pump to access vibrational modes spanning from $1000$ to $3100~\mathrm{cm}^{-1}$. Applied to quantum imaging of metabolites in biological tissue (pork muscle), our quantum-enhanced Raman microscope achieves an average noise suppression of $3.6~\mathrm{dB}$ and a $51\%$ enhancement in signal-to-noise ratio (SNR) -- to the best of our knowledge, the largest improvement reported to date in quantum-enhanced SRS microscopy of biological samples.
