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Chaetomium globosum is a common plant endophytic fungi that exhibits great biocontrol potential in plant disease. Fusarium crown rot (FCR) is an important disease in wheat that seriously threatens wheat production worldwide. The control effect of C. globosum against wheat FCR remains unclear. In this study, we introduced an identified C. globosum 12XP1-2-3 and tested its biological control potential against wheat FCR. The hypha and fermentation broth exhibited an antagonistic effect against Fusarium pseudograminearum. Results from indoor experiments showed that C. globosum 12XP1-2-3 might delay the onset of symptoms of brown stem base and significantly reduced the disease index (37.3%). Field trials showed that wheat seeds coated with a spore suspension of 12XP1-2-3 grew better than the control seeds, had control effects of 25.9–73.1% on FCR disease, and increased wheat yield by 3.2–11.9%. Analysis of rhizosphere microorganisms revealed that seeds coated with C. globosum (‘Cg’ treatment) had a greater effect on fungal rather than on bacterial alpha diversity and may improve the health state of rhizosphere microorganisms, as reflected by the significantly increased fungal Shannon index at Feekes 11 and the increased complexity of the bacterial co-occurrence network but decreased complexity of the fungal network. Moreover, the accumulation of beneficial bacteria such as Bacillus and Rhizobium at Feekes 3, and Sphingomonas at Feekes 7 in the ‘Cg’ treatment may be the important contributions to healthier wheat growth state, significantly reduced relative abundance of Fusarium at Feekes 11, and reduced occurrence of FCR disease. These results provide a basis for further research on the mechanism of action of C. globosum and its application in the biological control of FCR in the field.

Lipid droplets are the major organelles for fat storage in a cell and analyzing lipid droplets in Caenorhabditis elegans (C. elegans) can shed light on obesity-related diseases in humans. In this work, we propose to use a label free scattering-based method, namely dark field microscopy, to visualize the lipid droplets with high contrast, followed by deep learning to perform automatic segmentation. Our method works through combining epi-illumination dark field microscopy, which provides high spatial resolution, with asymmetric illumination, which computationally rejects multiple scattering. Due to the raw data’s high quality, only 25 images are required to train a Convolutional Neural Network (CNN) to successfully segment lipid droplets in dense regions of the worm. The performance is validated on both healthy worms as well as those in starvation conditions, which alter the size and abundance of lipid droplets. Asymmetric illumination substantially improves CNN accuracy compared with standard dark field imaging from 70% to be 85%, respectively. Meanwhile, standard segmentation methods such as watershed and DIC object tracking (DICOT) failed to segment droplets due to the images’ complex label-free background. By successfully analyzing lipid droplets in vivo and without staining, our method liberates researchers from dependence on genetically modified strains. Further, due to the “open top” of our epi-illumination microscope, our method can be naturally integrated with microfluidic chips to perform large scale and automatic analysis.

Background and Purpose: Patients' self-perceived burden (SPB) is associated with distress, which has a potentially negative influence on disease rehabilitation and quality of life. Stroke represents a significant health and social burden. The aim of the study was to assess, compare, and identify predictors of SPB in stroke survivors during the first 3 months post-stroke.Methods: A prospective longitudinal study was used. Consecutive stroke inpatients were recruited from the neurology department of three general hospitals in Xi'an, China. Patients were surveyed using the Self-perceived Burden Scale (SPBS) on the fourth day of admission (Acute phase, Time 1, T1) and 1 month (Time 2, T2) and 3 months (Time 3, T3) post-stroke.Results: Considerable burden was experienced by 84.15–91.50% of patients in the first 3 months post-stroke. The mean score of physical burden was the highest. Over time, physical, emotional, and economic burden all declined. The following characteristics had significant association with increased patient SPB at T1, T2, and T3: age, self-evaluated economic pressure, comorbidity, and functional status (P < 0.01). Patients' knowledge about stroke was only significantly associated with SPB at T3 (P < 0.01).Conclusions: Patients experienced a high degree of SPB in the early stage after stroke. Addressing the characteristics and predicting factors as well as the development of a targeted intervention for SPB may improve survival and post-stroke disability.