The gray catfish known as Surubim-do-Paraíba (Steindachneridion parahybae), which is endemic to the Paraíba do Sul river basin, is on the red list of Brazilian fauna threatened with extinction and the cryopreservation of germ cells of this fish is needed in support of conservation.
 
  We aimed to assess the effect of storage temperature on S. parahybae mature and immature oocytes.
 
  Two trials were carried out. Trial I (TI.1-3) used 30 mature oocytes (diameter >1.8 mm) placed in cryoprotectant solutions and submitted to three different techniques. Trial II (TII.1-3) used 30 immature oocytes (diameter <1.6 mm) placed in cryoprotectant solutions and submitted to three storage temperatures (i.e., TII.1 at room temperature for 120 min; TII.2 in the freezer for 120 min; TII.3 in liquid nitrogen for 24 hours.
 
  The mature oocytes were sensitive to every protocol used, including at room temperature. In contrast, the immature oocytes had increased sensitivity according to the temperature reduction to which they were submitted, with the treatment in liquid nitrogen causing greater damage.
 
  The immature stages exhibit more promising results, encouraging further studies using the combination of different CPSs, mainly penetrating ones, in oocyte cryopreservation protocols.
 The immature stages exhibit more promising results, encouraging further studies using the combination of different CPSs, mainly penetrating ones, in oocyte cryopreservation protocols.
  Although potato as a crop is commercially grown from seed tubers, plants grown from tissue culture plantlets are often used in physiological studies including freezing tolerance determination.
 
  This study aimed to examine the effects of the source of plants on freezing tolerance of potato plants at young developmental stages.
 
  We compared freezing tolerance and contents of soluble proteins and sugars of Solanum tuberosum plants derived from tissue culture with those derived from tubers before and after cold acclimation.
 
  Tuber-derived plants showed significantly higher freezing tolerance than tissue-culture-derived plants after cold acclimation, although non-acclimated plants did not show any marked differences. Soluble protein contents were higher in tuber-derived plants regardless of cold acclimation. Sucrose content increased to a higher level in tuber-derived plants after cold acclimation.
 
  These results suggest that source of plant tissue can have a significant effect on the response of young potato plants to freezing stress and that the use of tissue culture plants in freezing tolerance studies may not accurately reflect the frost tolerance of commercially grown plants.
 These results suggest that source of plant tissue can have a significant effect on the response of young potato plants to freezing stress and that the use of tissue culture plants in freezing tolerance studies may not accurately reflect the frost tolerance of commercially grown plants.Congenital heart disease (CHD) is the most common birth defect. Fetal screening ultrasound provides five views of the heart that together can detect 90% of complex CHD, but in practice, sensitivity is as low as 30%. Here, using 107,823 images from 1,326 retrospective echocardiograms and screening ultrasounds from 18- to 24-week fetuses, we trained an ensemble of neural networks to identify recommended cardiac views and distinguish between normal hearts and complex CHD. We also used segmentation models to calculate standard fetal cardiothoracic measurements. In an internal test set of 4,108 fetal surveys (0.9% CHD, >4.4 million images), the model achieved an area under the curve (AUC) of 0.99, 95% sensitivity (95% confidence interval (CI), 84-99%), 96% specificity (95% CI, 95-97%) and 100% negative predictive value in distinguishing normal from abnormal hearts.  https://www.selleckchem.com/products/pexidartinib-plx3397.html  Model sensitivity was comparable to that of clinicians and remained robust on outside-hospital and lower-quality images. The model's decisions were based on clinically relevant features. Cardiac measurements correlated with reported measures for normal and abnormal hearts. Applied to guideline-recommended imaging, ensemble learning models could significantly improve detection of fetal CHD, a critical and global diagnostic challenge.Machine learning techniques have great potential to improve medical diagnostics, offering ways to improve accuracy, reproducibility and speed, and to ease workloads for clinicians. In the field of histopathology, deep learning algorithms have been developed that perform similarly to trained pathologists for tasks such as tumor detection and grading. However, despite these promising results, very few algorithms have reached clinical implementation, challenging the balance between hope and hype for these new techniques. This Review provides an overview of the current state of the field, as well as describing the challenges that still need to be addressed before artificial intelligence in histopathology can achieve clinical value.3D correlative microscopy methods have revolutionized biomedical research, allowing the acquisition of multidimensional information to gain an in-depth understanding of biological systems. With the advent of relevant cryo-preservation methods, correlative imaging of cryogenically preserved samples has led to nanometer resolution imaging (2-50 nm) under harsh imaging regimes such as electron and soft X-ray tomography. These methods have now been combined with conventional and super-resolution fluorescence imaging at cryogenic temperatures to augment information content from a given sample, resulting in the immediate requirement for protocols that facilitate hassle-free, unambiguous cross-correlation between microscopes. We present here sample preparation strategies and a direct comparison of different working fiducialization regimes that facilitate 3D correlation of cryo-structured illumination microscopy and cryo-soft X-ray tomography. Our protocol has been tested at two synchrotron beamlines (B24 at Diamond Light Source in the UK and BL09 Mistral at ALBA in Spain) and has led to the development of a decision aid that facilitates experimental design with the strategic use of markers based on project requirements. This protocol takes between 1.5 h and 3.5 d to complete, depending on the cell populations used (adherent cells may require several days to grow on sample carriers).