Cavity-Amplified Scattering Spectroscopy Reveals the Dynamics of Proteins and Nanoparticles in Quasi-transparent and Miniature Samples.

Dynamic light scattering techniques can give access to the motion spectrum of microscopic objects and are therefore routinely used for numerous industrial and research applications ranging from particle sizing to the characterization of the viscoelastic properties of materials. However, such measurements are impossible when samples do not scatter light enough, i.e., when light undergoes too few scattering events when passing through a sample, either due to excessively small scattering cross sections or due to low concentrations of scatterers. Here, we propose to amplify the light scattering efficiency by placing weakly scattering samples inside a Lambertian cavity with high-reflectance walls. When injected with laser light, the cavity produces a 3D isotropic and homogeneous light field, effectively elongates the photon scattering path length through the sample by 2-3 orders of magnitude, and leads to a dramatic increase in sensitivity. With a 104-fold increase in sensitivity compared to classical techniques, we potentially expand the applications of light scattering to miniaturized microfluidics samples and to weakly scattering samples in general. We show that we can access the short-time dynamics of low-turbidity samples and demonstrate our sensitivity gain by measuring the diffusion coefficient and, therefore, the size of particles ranging from 5 nm to 20 µm with volume fractions as low as 10-9 in volumes as low as 100 µL and in solvents with refractive index mismatches down to Δn ≈ 0.01. Beyond the realm of current applications of light scattering techniques, our cavity-amplified scattering spectroscopy method (CASS) and its high sensitivity represent a significant methodological step toward the study of short-time dynamics problems such as the ballistic limit of Brownian motion, the internal dynamics of proteins, or the dielectric dynamics of liquids.

Stochastic light concentration from 3D to 2D reveals ultraweak chemi- and bioluminescence.

For countless applications in science and technology, light must be concentrated, and concentration is classically achieved with reflective and refractive elements. However, there is so far no efficient way, with a 2D detector, to detect photons produced inside an extended volume with a broad or isotropic angular distribution. Here, with theory and experiment, we propose to stochastically transform and concentrate a volume into a smaller surface, using a high-albedo Ulbricht cavity and a small exit orifice through cavity walls. A 3D gas of photons produced inside the cavity is transformed with a 50% number efficiency into a 2D Lambertian emitting orifice with maximal radiance and a much smaller size. With high-albedo quartz-powder cavity walls ([Formula: see text]), the orifice area is [Formula: see text] times smaller than the walls' area. When coupled to a detectivity-optimized photon-counter ([Formula: see text]) the detection limit is [Formula: see text]. Thanks to this unprecedented sensitivity, we could detect the luminescence produced by the non-catalytic disproportionation of hydrogen peroxide in pure water, which has not been observed so far. We could also detect the ultraweak bioluminescence produced by yeast cells at the onset of their growth. Our work opens new perspectives for studying ultraweak luminescence, and the concept of stochastic 3D/2D conjugation should help design novel light detection methods for large samples or diluted emitters.

Detectivity optimization to detect of ultraweak light fluxes with an EM-CCD as binary photon counter array.

For a wide range of purposes, one faces the challenge to detect light from extremely faint and spatially extended sources. In such cases, detector noises dominate over the photon noise of the source, and quantum detectors in photon counting mode are generally the best option. Here, we combine a statistical model with an in-depth analysis of detector noises and calibration experiments, and we show that visible light can be detected with an electron-multiplying charge-coupled devices (EM-CCD) with a signal-to-noise ratio (SNR) of 3 for fluxes less than [Formula: see text]. For green photons, this corresponds to 12 aW [Formula: see text] ≈ [Formula: see text] lux, i.e. 15 orders of magnitude less than typical daylight. The strong nonlinearity of the SNR with the sampling time leads to a dynamic range of detection of 4 orders of magnitude. To detect possibly varying light fluxes, we operate in conditions of maximal detectivity [Formula: see text] rather than maximal SNR. Given the quantum efficiency [Formula: see text] of the detector, we find [Formula: see text], and a non-negligible sensitivity to blackbody radiation for T > 50 °C. This work should help design highly sensitive luminescence detection methods and develop experiments to explore dynamic phenomena involving ultra-weak luminescence in biology, chemistry, and material sciences.

Super-resolution provided by the arbitrarily strong superlinearity of the blackbody radiation.

Blackbody radiation is a fundamental phenomenon in nature, and its explanation by Planck marks a cornerstone in the history of Physics. In this theoretical work, we show that the spectral radiance given by Planck's law is strongly superlinear with temperature, with an arbitrarily large local exponent for decreasing wavelengths. From that scaling analysis, we propose a new concept of super-resolved detection and imaging: if a focused beam of energy is scanned over an object that absorbs and linearly converts that energy into heat, a highly nonlinear thermal radiation response is generated, and its point spread function can be made arbitrarily smaller than the excitation beam focus. Based on a few practical scenarios, we propose to extend the notion of super-resolution beyond its current niche in microscopy to various kinds of excitation beams, a wide range of spatial scales, and a broader diversity of target objects.