Weak signal extraction enabled by deep neural network denoising of diffraction data

The removal or cancellation of noise has wide-spread applications in imaging and acoustics. In applications in everyday life, such as image restoration, denoising may even include generative aspects, which are unfaithful to the ground truth. For scientific use, however, denoising must reproduce the ground truth accurately. Denoising scientific data is further challenged by unknown noise profiles. In fact, such data will often include noise from multiple distinct sources, which substantially reduces the applicability of simulation-based approaches. Here we show how scientific data can be denoised by using a deep convolutional neural network such that weak signals appear with quantitative accuracy. In particular, we study X-ray diffraction and resonant X-ray scattering data recorded on crystalline materials. We demonstrate that weak signals stemming from charge ordering, insignificant in the noisy data, become visible and accurate in the denoised data. This success is enabled by supervised training of a deep neural network with pairs of measured low- and high-noise data. We additionally show that using artificial noise does not yield such quantitatively accurate results. Our approach thus illustrates a practical strategy for noise filtering that can be applied to challenging acquisition problems.

The influence of isoflurane on peri-operative endocrine and metabolic stress responses

Trauma and surgery profoundly affect the circulating concentrations of metabolites and so-called stress hormones, and may thereby directly or indirectly influence recovery. This stress response on the other hand is subject to modification by the anaesthetics employed. We investigated the effects of isoflurane on selected stress parameters in 10 patients undergoing major abdominal surgery and compared them to those in 10 patients receiving halothane. Plasma levels of adrenaline, noradrenaline, cortisol, ACTH, and beta-endorphin, as well as glucose, non-esterified fatty acids (NEFA), and lactate were determined during a pre-operative anaesthesia period as well as intra- and post-operatively. The levels of all parameters remained stable or decreased during the pre-operative anaesthesia period. They increased intra- and/or post-operatively, reaching peak values in the recovery period. Although the changes in both groups were basically similar, we observed lower serum concentrations of cortisol and lactate in the isoflurane group. We conclude that isoflurane and halothane have similar effects on peri-operative changes of endocrine and metabolic parameters, and that neither can effectively block the stress response to major surgery. We found no firm evidence for a stimulatory effect of isoflurane on the parameters studied.

Animal experiments for the determination of an optimal wavelength for retinal coagulations

The retina of rabbits was coagulated with different wave-lengths (570-630 nm) using a tunable dye laser with Rhodamin 6G. To achieve comparable ophthalmoscopic appearance the intensity of the laser beam was varied with neutral filters of varying absorption. Histologic examination of fresh coagulation effects and 3-week-old coagulation scars showed no difference in relation to the wave-length used. Theoretically, 577 nm seems to be a particularly useful wavelength for the treatment of a wide variety of retinal lesions because it is not absorbed in xanthophyll and penetrates opacities of the optic media better than argon blue green. Furthermore, it is absorbed maximally in hemoglobin, making it particularly suitable for the coagulation of blood vessels.