Full-visibility 3D imaging of oxygenation and blood flow by simultaneous multispectral photoacoustic fluctuation imaging (MS-PAFI) and ultrasound Doppler.

We present a method and setup that provide complementary three-dimensional (3D) images of blood oxygenation (via quantitative photoacoustic imaging) and blood flow dynamics (via ultrasound Doppler). The proposed approach is label-free and exploits blood-induced fluctuations, and is implemented on a sparse array with only 256 elements, driven with a commercially available ultrasound electronics. We first implement 3D photoacoustic fluctuation imaging (PAFI) to image chicken embryo, and obtain full-visibility images of the vascular morphology.

Compensating for visibility artefacts in photoacoustic imaging with a deep learning approach providing prediction uncertainties.

Conventional photoacoustic imaging may suffer from the limited view and bandwidth of ultrasound transducers. A deep learning approach is proposed to handle these problems and is demonstrated both in simulations and in experiments on a multi-scale model of leaf skeleton. We employed an experimental approach to build the training and the test sets using photographs of the samples as ground truth images.

E6/E7 Sequence Diversity of High-Risk Human Papillomaviruses in Two Geographically Isolated Populations of French Guiana.

Amerindian and Maroon populations of French Guiana have been living in isolation for generations and sexual networks remained mostly endogamous. The present study aimed to describe the phylogeny of E6 and E7 sequences of the most common high-risk HPV genotypes in these regions, to ascertain the diversity of intra-type variants and describe evolutionary relationships. There were 106 women with at least one of HPV16, 18, 31, 52, 58, and 68 genotypes.

Voronoi tessellation to study the numerical density and the spatial distribution of neurones.

The conditions of regularity and isotropy, required by standard morphometric procedures, are generally not fulfilled in the central nervous system (CNS) where cells are distributed in a highly complex manner. The evaluation of the mean numerical density of neuronal or glial cells does not take into account the topographical heterogeneity and thereby misses the information that it contains. A local measurement of the density can be obtained by evaluating the 'numerical density of one cell', i.