Development of a single-cell X-ray fluorescence flow cytometer

Abridged spectral matrix inversion: parametric fitting of X-ray fluorescence spectra following integrative data reduction

Recent improvements in both X-ray detectors and readout speeds have led to a substantial increase in the volume of X-ray fluorescence data being produced at synchrotron facilities. This in turn results in increased challenges associated with processing and fitting such data, both temporally and computationally. Herein an abridging approach is described that both reduces and partially integrates X-ray fluorescence (XRF) data sets to obtain a fivefold total improvement in processing time with negligible decrease in quality of fitting. The approach is demonstrated using linear least-squares matrix inversion on XRF data with strongly overlapping fluorescent peaks. This approach is applicable to any type of linear algebra based fitting algorithm to fit spectra containing overlapping signals wherein the spectra also contain unimportant (non-characteristic) regions which add little (or no) weight to fitted values, e.g. energy regions in XRF spectra that contain little or no peak information.

Accurate and rapid 3D printing of microfluidic devices using wavelength selection on a DLP printer

The use of microfluidics on synchrotron X-ray beamlines represents an advanced sample preparation and delivery platform for state-of-the-art X-ray characterization of micro-samples. The recent developments of 3D printing technologies have opened possibilities for rapid fabrication of complex microfluidic devices. One of the major challenges in 3D printing of microfluidic devices using a digital light processing (DLP) desktop printer is that the static liquid resin trapped in the channels, once the "ceiling" is printed, still receives small doses of light through the subsequently printed layers. This easily triggers partial polymerisation of the resin which impedes its flushing out of the channels after completion of the printing session. We show here that it is possible to gain better control over the resin polymerisation and improve the quality of the microfluidic devices by efficiently reducing the penetration depth of the UV LED light through wavelength selection combined with a careful choice of absorber and photo-initiator materials. We produced and tested several structures using a slightly modified desktop printer at 385 nm wavelength with 37 × 37 μm2 pixel resolution at a printed layer thickness of 25 μm. The structures include particle filters, mixers, droplet generators and droplet storage traps with features below 100 μm. We demonstrate crystallisation of model inorganic and organic compounds in trapped droplets and assess the feasibility of in-device X-ray diffraction experiments. This research opens the path for the use of 3D printed microfluidic devices on X-ray beamlines.

Recent advances in single-cell analysis by mass spectrometry

Cells are the most basic structural units that play vital roles in the functioning of living organisms. Analysis of the chemical composition and content of a single cell plays a vital role in ensuring precise investigations of cellular metabolism, and is a crucial aspect of lipidomic and proteomic studies. In addition, structural knowledge provides a better understanding of cell behavior as well as the cellular and subcellular mechanisms. However, single-cell analysis can be very challenging due to the very small size of each cell as well as the large variety and extremely low concentrations of substances found in individual cells. On account of its high sensitivity and selectivity, mass spectrometry holds great promise as an effective technique for single-cell analysis. Numerous mass spectrometric techniques have been developed to elucidate the molecular profiles at the cellular level, including electrospray ionization mass spectrometry (ESI-MS), secondary ion mass spectrometry (SIMS), laser-based mass spectrometry and inductively coupled plasma mass spectrometry (ICP-MS). In this review, the recent advances in single-cell analysis by mass spectrometry are summarized. The strategies of different ionization modes to achieve single-cell analysis are classified and discussed in detail.

M-BLANK: a program for the fitting of X-ray fluorescence spectra

The X-ray fluorescence data from X-ray microprobe and nanoprobe measurements must be fitted to obtain reliable elemental maps. The most common approach in many fitting programs is to initially remove a per-pixel baseline. Using X-ray fluorescence data of yeast and glial cells, it is shown that per-pixel baselines can result in significant, systematic errors in quantitation and that significantly improved data can be obtained by calculating an average blank spectrum and subtracting this from each pixel.

A comparison of parametric and integrative approaches for X-ray fluorescence analysis applied to a Stroke model

Synchrotron X-ray fluorescence imaging enables visualization and quantification of microscopic distributions of elements. This versatile technique has matured to the point where it is used in a wide range of research fields. The method can be used to quantitate the levels of different elements in the image on a pixel-by-pixel basis. Two approaches to X-ray fluorescence image analysis are commonly used, namely, (i) integrative analysis, or window binning, which simply sums the numbers of all photons detected within a specific energy region of interest; and (ii) parametric analysis, or fitting, in which emission spectra are represented by the sum of parameters representing a series of peaks and other contributing factors. This paper presents a quantitative comparison between these two methods of image analysis using X-ray fluorescence imaging of mouse brain-tissue sections; it is shown that substantial errors can result when data from overlapping emission lines are binned rather than fitted. These differences are explored using two different digital signal processing data-acquisition systems with different count-rate and emission-line resolution characteristics. Irrespective of the digital signal processing electronics, there are substantial differences in quantitation between the two approaches. Binning analyses are thus shown to contain significant errors that not only distort the data but in some cases result in complete reversal of trends between different tissue regions.

Prolonged Blood-Brain Barrier Injury Occurs After Experimental Intracerebral Hemorrhage and Is Not Acutely Associated with Additional Bleeding

Intracerebral hemorrhage (ICH) causes blood-brain barrier (BBB) damage along with altered element levels in the brain. BBB permeability was quantified at 3, 7, and 14 days with Evans Blue dye after collagenase-induced ICH in rat. At peak permeability (day 3), a gadolinium (Gd)-based contrast agent was injected to further characterize BBB disruption, and X-ray fluorescence imaging (XFI) was used to map Gd, Fe, Cl, and other elements. XFI revealed that Ca, Cl, Gd, and Fe concentrations were significantly elevated, whereas K was significantly decreased. Therefore, using Gd-XFI, we co-determined BBB dysfunction with alterations in the metallome, including those that contribute to cell death and functional outcome. Warfarin was administered 3 days post-ICH to investigate whether additional or new bleeding occurs during peak BBB dysfunction, and hematoma volume was assessed on day 4. Warfarin administration prolonged bleeding time after a peripheral cut-induced bleed, but warfarin did not worsen hematoma volume. Accordingly, extensive BBB leakage occurred after ICH, but did not appear to affect total hematoma size.

X-Ray Fluorescence-Detected Flow Cytometry

X-ray fluorescence-detected flow cytometry can enable the detection and characterization of ultra-trace, trace, and bulk elemental content at the cellular level using synchrotron-induced x-ray emission from fully aquated actively respiring cells. Although very much still a technique in development, this technique has been used to characterize cell-to-cell elemental variability in bovine red blood cells, Saccharomyces cerevisiae, and NIH3T3 mouse fibroblasts. Herein we describe the experimental setup and the key methodological aspects of data collection and processing.