Pilot study on virtual imaging for patient information on radiotherapy planning and delivery

It is widely accepted that health professionals might sometimes underestimate cancer patients' needs for information on the complex process of radiotherapy (RT) planning and delivery. Furthermore, relatives might also feel excluded from the treatment of their loved ones. This pilot study was carried out in order to assess whether both patients and their relatives would welcome further information on RT planning and delivery using the virtual reality (VR) system VERT. One hundred and fifty patients with different types of cancer receiving radical RT were included in the study. Patients and relatives were shown using VERT on a one-to-one basis with an oncologist or a radiographer, a standard room where RT is given, a linear accelerator, and how RT is planned and delivered using their own planning CT Scans. Patients welcomed this information as it helped them to reduce their fears about RT. Relatives felt also more involved in the treatment of their loved one. The results obtained in this pilot study show that VR aids could become an important tool for delivering information on RT to both patients and relatives

Fourier transform infrared spectroscopy as a non-destructive method for analysing herbarium specimens.

Dried plant specimens stored in herbaria are an untapped treasure chest of information on environmental conditions, plant evolution and change over many hundreds of years. Owing to their delicate nature and irreplaceability, there is limited access for analysis to these sensitive samples, particularly where chemical data are obtained using destructive techniques. Fourier transform infrared (FTIR) spectroscopy is a chemical analysis technique which can be applied non-destructively to understand chemical bonding information and, therefore, functional groups within the sample. This provides the potential for understanding geographical, spatial and species-specific variation in plant biochemistry. Here, we demonstrate the use of mid-FTIR microspectroscopy for the chemical analysis of Drosera rotundifolia herbarium specimens, which were collected 100 years apart from different locations. Principal component and hierarchical clustering analysis enabled differentiation between three main regions on the plant (lamina, tentacle stalk and tentacle head), and between the different specimens. Lipids and protein spectral regions were particularly sensitive differentiators of plant tissues. Differences between the different sets of specimens were smaller. This study demonstrates that relevant information can be extracted from herbarium specimens using FTIR, with little impact on the specimens. FTIR, therefore, has the potential to be a powerful tool to unlock historic information within herbaria

Effects of nilotinib on leukaemia cells using vibrational microspectroscopy and cell cloning

Over the last few years, both synchrotron-based FTIR (S-FTIR) and Raman microspectroscopies have helped to better understand the effects of drugs on cancer cells. However, cancer is a mixture of cells with different sensitivity/resistance to drugs. Furthermore, the effects of drugs on cells produce both chemical and morphological changes, the latter could affect the spectra of cells incubated with drugs. Here, we successfully cloned sensitive and resistant leukaemia cells to nilotinib, a drug used in the management of leukaemia. This allowed both the study of a more uniform population and the study of sensitive and resistant cells prior to the addition of the drug with both S-FTIR and Raman microspectroscopies. The incubation with nilotinib produced changes in the S-FTIR and Raman spectra of both sensitive and resistant clones to nilotinib. Principal component analysis was able to distinguish between cells incubated in the absence or presence of the drug, even in the case of resistant clones. The latter would confirm that the spectral differences between the so-called resistant clonal cells prior to and after adding a drug might reside on those more or less sensitive cells that have been able to remain alive when they were collected to be studied with S-FTIR or Raman microspectroscopies. The data presented here indicate that the methodology of cell cloning can be applied to different types of malignant cells. This should facilitate the identification of spectral biomarkers of sensitivity/resistance to drugs. The next step would be a better assessment of sensitivity/resistance of leukaemia cells from patients which could guide clinicians to better tailor treatments to each individual patient

Domes and semi-capsules as model systems for infrared microspectroscopy of biological cells.

It is well known that infrared microscopy of micrometer sized samples suffers from strong scattering distortions, attributed to Mie scattering. The state-of-the-art preprocessing technique for modelling and removing Mie scattering features from infrared absorbance spectra of biological samples is built on a meta model for perfect spheres. However, non-spherical cell shapes are the norm rather than the exception, and it is therefore highly relevant to evaluate the validity of this preprocessing technique for deformed spherical systems. Addressing these cases, we investigate both numerically and experimentally the absorbance spectra of 3D-printed individual domes, rows of up to five domes, two domes with varying distance, and semi-capsules of varying lengths as model systems of deformed individual cells and small cell clusters. We find that coupling effects between individual domes are small, corroborating previous related literature results for spheres. Further, we point out and illustrate with examples that, while optical reciprocity guarantees the same extinction efficiency for top vs. bottom illumination, a scatterer's internal field may be vastly different in these two situations. Finally, we demonstrate that the ME-EMSC model for preprocessing infrared spectra from spherical biological systems is valid also for deformed spherical systems