Raman spectroscopy provides the unique opportunity to nondestructively analyze chemical concentrations in individual cells on the submicrometer length scale without the need for optical labels. This enables the rapid assessment of cellular biochemistry inside living cells, and it allows for their continued analysis. Here, we review recent developments in the analysis of single cells, subcellular compartments, and chemical imaging based on Raman spectroscopy. Spontaneous Raman spectroscopy provides for the full spectral assessment of cellular biochemistry, while coherent Raman techniques, such as coherent anti-Stokes Raman scattering is primarily used as an imaging tool comparable to confocal fluorescence microscopy. These techniques are complemented by surface-enhanced Raman spectroscopy, which provides higher sensitivity and local specificity, and also extends the techniques to chemical indicators, i.e. pH sensing. We review the strengths and weaknesses of each technique, demonstrate some of their applications and discuss their potential for future research in cell biology and biomedicine.

One mechanism by which monocytes become activated postprandially is by exposure to triglyceride (TG)-rich lipoproteins such as very low-density lipoproteins (VLDL). VLDL are hydrolyzed by lipoprotein lipase (LpL) at the blood-endothelial cell interface, releasing free fatty acids. In this study, we examined postprandial monocyte activation in more detail, and found that lipolysis products generated from postprandial VLDL induce the formation of lipid-filled droplets within cultured THP-1 monocytes, characterized by coherent anti-stokes Raman spectroscopy. Organelle-specific stains revealed an association of lipid droplets with the endoplasmic reticulum, confirmed by electron microscopy. Lipid droplet formation was reduced when LpL-released fatty acids were bound by bovine serum albumin, which also reduced cellular inflammation. Furthermore, saturated fatty acids induced more lipid droplet formation in monocytes compared to mono-and polyunsaturated fatty acids. Monocytes treated with postprandial VLDL lipolysis products contained lipid droplets with more intense saturated Raman spectroscopic signals than monocytes treated with fasting VLDL lipolysis products. In addition, we found that human monocytes isolated during the peak postprandial period contain more lipid droplets compared to those from the fasting state, signifying that their development is not limited to cultured cells but also occurs in vivo. In summary, circulating free fatty acids can mediate lipid droplet formation in monocytes and potentially be used as a biomarker to assess an individual's risk of developing atherosclerotic cardiovascular disease.

We introduce a new algorithm for computing correlations of photon arrival time data acquired in single-molecule fluorescence spectroscopy and fluorescence correlation spectroscopy (FCS). The algorithm is based on rewriting the correlation as a counting operation on photon pairs and can be used with arbitrary bin widths and spacing. The flexibility of the algorithm is demonstrated by use of FCS simulations and single-molecule photon antibunching experiments. Execution speed is comparable to the commonly used multiple-tau correlation technique. Wide bin spacings are possible that allow for real-time software calculation of correlations, even for high count rates.

Single-molecule fluorescence resonant energy transfer (FRET) is a widely accepted method for determining the spatial separation between molecules. In combination with pulsed interleaved excitation (PIE), additional information about the stoichiometry of molecular interactions is obtained. PIE-FRET, however, as implemented with standard confocal optics, requires the dilution of the sample to biologically low concentrations. Here, we show that PIE-FRET measurements inside nanometer-sized apertures yield meaningful biochemical data at 1000 x higher concentrations.

We present a novel scheme to simultaneously detect coherent anti-Stokes Raman scattering (CARS) microscopy signals in the forward (F) and backward (epi -E) direction with a single avalanche photodiode (APD) detector using time-correlated single photon counting (TCSPC). By installing a mirror at a well-defined distance above the sample the forwardscattered F-CARS signal is reflected back into the microscope objective leading to spatial overlap of the F and E-CARS signals. Due to traveling an additional distance the F-CARS signal is time delayed relative to the E-CARS signal. TCSPC then allows for the two signals to be resolved in the time domain. This results in an efficient, simple, and compact method of CARS signal detection. We demonstrate this technique by analyzing forward and backward CARS signals obtained by imaging living adipocyte cells derived from human mesenchymal stem cells.