Fourier Ring Correlation and Anisotropic Kernel Density Estimation Improve Deep Learning Based SMLM Reconstruction of Microtubules.

Single-molecule super-resolution microscopy (SMLM) techniques like STORM can reveal biological structures down to the nanometer scale. The achievable resolution is not only defined by the localization precision of individual fluorescent molecules, but also by their density, which becomes a limiting factor e.g.

Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples.

Purpose: To evaluate an iterative learning approach for enhanced performance of robust artificial-neural-networks for k-space interpolation (RAKI), when only a limited amount of training data (auto-calibration signals [ACS]) are available for accelerated standard 2D imaging.

Methods: In a first step, the RAKI model was tailored for the case of limited training data amount. In the iterative learning approach (termed iterative RAKI [iRAKI]), the tailored RAKI model is initially trained using original and augmented ACS obtained from a linear parallel imaging reconstruction.

Barbershops as a setting for supporting men's mental health during the COVID-19 pandemic: a qualitative study from the UK.

Background: Previous research has highlighted the need to promote help-seeking by men with mental health problems.

Aims: To investigate barbers' views about offering mental health support for men in barbershops, with a specific focus on the psychosocial impacts of the COVID-19 pandemic.

Method: We used a sequential mixed-methods qualitative design with online data collection.

[The innovative dynamics for the restructuring of the health services].

Challenges posed by demographic and epidemiological changes and by the need to reduce costs have required the restructuring of the health services. Health innovations play a major role in this process, as technologies are fundamental both to expand the access and to adapt the system to the population's needs. However, the generation of health innovation is not based solely on sanitary demands and conditioning factors; on the contrary, it often reflects a trajectory of development and the interests of restricted groups in society.

Chemokine gene expression and clonal analysis of B cells in tissues involved by lymphoid interstitial pneumonitis from HIV-infected pediatric patients.

Lymphoid interstitial pneumonitis (LIP), a frequent pulmonary complication in HIV-infected pediatric patients, is characterized histologically by marked infiltration of lymphoid cells. We sought to evaluate the nature and pathogenesis of the lymphoid infiltrates and to examine the relationship of LIP to pulmonary MALT lymphoma that has been described in pediatric HIV positive patients. To examine the potential contribution of chemokines and cytokines to the inflammatory cell recruitment in tissues involved by lymphoid interstitial pneumonitis from HIV-infected pediatric patients, RNA was extracted from paraffin-embedded tissues from five lung biopsies in four pediatric HIV-positive patients and from five control, normal lung biopsies in five HIV-negative patients and was analyzed by semiquantitative RT-PCR for the expression of cytokines (TNF-alpha, GM-CSF, IFN-gamma, IL-4, IL-6, IL-10, and IL-18) and chemokines (IP-10, Mig, regulated upon activation, normal T expressed and secreted [RANTES], and MIP1-alpha and beta) after normalization for G3PDH.