Photon-separation to enhance the spatial resolution of pulsed STED microscopy.

Stimulated emission depletion microscopy (STED) is one of the pivotal super-resolution techniques. It overcomes the spatial resolution limit imposed by the diffraction by using an additional laser beam, the STED beam, intensity of which is directly related to the achievable resolution. Despite reaching nanometer resolution, much effort in recent years has been devoted to reducing the STED beam intensity because it may lead to photo-damaging effects. Accessing the spatial information encoded in the temporal dynamics of the detected fluorescent photons has been proved to be a powerful strategy and has contributed to the separation by lifetime tuning (SPLIT) technique. The SPLIT method uses the phasor analysis to efficiently distinguish photons emitted from the center and the periphery of the excitation spot. It thus improves the resolution without increasing the STED beam intensity. This method was proposed for architectures based on the STED beam running in continuous waves (CW-STED microscopy). Here, we extend it to pulsed STED beam implementations (pSTED microscopy). We show, through simulated and experimental data, that the pSTED-SPLIT method reduces the detection volume of the pSTED microscope without significantly decreasing the signal-to-noise ratio of the final image, thus effectively improving the resolution without increasing the STED beam intensity.

Optimization of the signal-to-noise ratio of frequency-domain instrumentation for near-infrared spectro-imaging of the human brain.

Frequency-domain near-infrared spectro-imaging offers significant advantages over the continuous-wave method in human brain applications. However, the drawback of existing instruments is a low signal-to-noise ratio for measured phase and modulation depth changes caused by cerebral activation. In this paper we show that in the case of the geometry specific for the activated area in the human brain, the SNR can be significantly improved by increasing the modulation frequency. We present the results of two studies: one performed experimentally using a subnanosecond pulsed light source and a spherical absorbing inhomogeneity immersed in a highly scattering solution, and the other performed numerically using Monte Carlo simulations of light transport in an MRI based digital phantom of the adult human head. We show that changes caused by the absorbing inhomogeneity in both phase and modulation depth increase with frequency and reach maximum values at frequencies between 400 and 1400 MHz, depending on the particular source-detector distance. We also show that for the human head geometry an increase of the modulation frequency from 100 to 500 MHz can increase the phase SNR 2-3 times, and the modulation depth SNR up to 10 times.

Non-invasive optical measurement of cerebral metabolism and hemodynamics in infants.

Perinatal brain injury remains a significant cause of infant mortality and morbidity, but there is not yet an effective bedside tool that can accurately screen for brain injury, monitor injury evolution, or assess response to therapy. The energy used by neurons is derived largely from tissue oxidative metabolism, and neural hyperactivity and cell death are reflected by corresponding changes in cerebral oxygen metabolism (CMRO2). Thus, measures of CMRO2 are reflective of neuronal viability and provide critical diagnostic information, making CMRO2 an ideal target for bedside measurement of brain health. Brain-imaging techniques such as positron emission tomography (PET) and single-photon emission computed tomography (SPECT) yield measures of cerebral glucose and oxygen metabolism, but these techniques require the administration of radionucleotides, so they are used in only the most acute cases. Continuous-wave near-infrared spectroscopy (CWNIRS) provides non-invasive and non-ionizing radiation measures of hemoglobin oxygen saturation (SO2) as a surrogate for cerebral oxygen consumption. However, SO2 is less than ideal as a surrogate for cerebral oxygen metabolism as it is influenced by both oxygen delivery and consumption. Furthermore, measurements of SO2 are not sensitive enough to detect brain injury hours after the insult, because oxygen consumption and delivery reach equilibrium after acute transients. We investigated the possibility of using more sophisticated NIRS optical methods to quantify cerebral oxygen metabolism at the bedside in healthy and brain-injured newborns. More specifically, we combined the frequency-domain NIRS (FDNIRS) measure of SO2 with the diffuse correlation spectroscopy (DCS) measure of blood flow index (CBFi) to yield an index of CMRO2 (CMRO2i). With the combined FDNIRS/DCS system we are able to quantify cerebral metabolism and hemodynamics. This represents an improvement over CWNIRS for detecting brain health, brain development, and response to therapy in neonates. Moreover, this method adheres to all neonatal intensive care unit (NICU) policies on infection control and institutional policies on laser safety. Future work will seek to integrate the two instruments to reduce acquisition time at the bedside and to implement real-time feedback on data quality to reduce the rate of data rejection.

Confocal fluctuation spectroscopy and imaging.

Currently, work with subnanomolar concentrations is routine while femtomolar and even single-molecule studies are possible with some efforts getting high on single-molecule biophysics and biochemistry. Methodological breakthroughs, such as reducing the background light contribution in single-molecule studies, which has plagued many studies of molecular fluorescence in dilute solution, and particularly in live cells, have recently described by us. We first demonstrated how optimized time-gating of the fluorescence signal, together with time-correlated, single-photon counting, can be used to substantially boost the experimental signal-to-noise ratio about 140-fold, making it possible to measure analyte concentrations that are as low as 15 pM. By detection of femtomolar bulk concentrations, confocal microsopy has the potential to address the observation of one and the same molecule in dilute solution without immobilization or hydrodynamic/electrokinetic focusing at longer observation times than currently available. We present relevant physics. The equations are derived using Einstein's approach showing how it fits with Fick's law and the autocorrelation function. An improved technology is being developed at ISS for femtomolar microscopy. The general concepts and provided experimental examples should help to compare our approach to those used in conventional confocal microscopy.

Reducing background contributions in fluorescence fluctuation time-traces for single-molecule measurements in solution.

We first report on the development of new microscope means that reduce background contributions in fluorescence fluctuation methods: i) excitation shutter, ii) electronic switches, and iii) early and late time-gating. The elements allow for measuring molecules at low analyte concentrations. We first found conditions of early and late time-gating with time-correlated single-photon counting that made the fluorescence signal as bright as possible compared with the fluctuations in the background count rate in a diffraction-limited optical set-up. We measured about a 140-fold increase in the amplitude of autocorrelated fluorescence fluctuations at the lowest analyte concentration of about 15 pM, which gave a signal-to-background advantage of more than two-orders of magnitude. The results of this original article pave the way for single-molecule detection in solution and in live cells without immobilization or hydrodynamic/electrokinetic focusing at longer observation times than are currently available.

Fluorescence correlation spectroscopy assay for gliadin in food.

Gliadin proteins are primarily responsible for celiac disease. As gliadin is a complex mixture of proteins difficult to solubilize and to extract from food, it is difficult to develop an assay capable of accurate quantization of gliadin in food for celiac patients. In this work, we present an advanced fluorescence assay for the detection of traces of gliadin in food. The described assay is based on measurement of the fluctuations of fluorescein-labeled gliadin peptides (GP) in a focused laser beam in the absence and in the presence of anti-GP antibodies. A competitive assay based on the utilization of unlabeled GP was developed. The obtained results indicate that the combination of high-avidity IgG antibodies together with the innovative fluorescence immunoassay strategy resulted in a gluten detection limit of 0.006 ppm, which it is much lower than the values reported in the literature.