Biofilms are complex and dynamic structures that include many more components than just viable cells. Therefore, the apparently simple goal of growing reproducible biofilms is often elusive. One of the challenges in defining reproducibility for biofilm research is that different research fields use a spectrum of parameters to define reproducibility for their particular application. For instance, is the researcher interested in achieving a similar population density, height of biofilm structures, or function of the biofilm in a certain ecosystem/industrial context? Within this article we categorize reproducibility into four different levels: level 1, no reproducibility; level 2, standard reproducibility; level 3, potential standard reproducibility; and level 4, total reproducibility. To better understand the need for these different levels of reproducibility, we expand on the 'cities of microbes' analogy for biofilms by imagining that a new civilization has reached the Earth's outskirts and starts studying the Earth's cities. This will provide a better sense of scale and illustrate how small details can impact profoundly on the growth and behavior of a biofilm and our understanding of reproducibility.
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http://dx.doi.org/10.1016/j.tim.2021.05.003 | DOI Listing |
JMIR Med Inform
January 2025
Department of Medical Informatics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands.
Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for self-management, which support individuals to take charge of their own health. The usability of DHS, as experienced by patients, is pivotal to adoption.
View Article and Find Full Text PDFOpen Heart
January 2025
Department of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Background: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis imaging quantitative CT, AI-QCT).
Methods: The study included 208 patients with suspected coronary artery disease (CAD) undergoing CCTA in Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography-1.
Anal Biochem
January 2025
Çanakkale Onsekiz Mart University, Faculty of Engineering, Bioengineering Department, Çanakkale-TURKEY. Electronic address:
The enzyme creatine kinase (CK) is a biomarker that plays an extremely significant role in the early detection of cardiovascular disorders. Serum levels of CK are regularly monitored in patients with heart attacks, one of the most critical cardiovascular illnesses. In this study, a highly sensitive electrochemical immunosensor system was designed for the importance of early diagnosis of CK.
View Article and Find Full Text PDFJ Foot Ankle Surg
January 2025
Surgical Fellow, Florida Orthopedic Foot & Ankle Center Fellowship, 5741 Bee Ridge Rd #490, Sarasota, FL 34233. Electronic address:
Joint arthrodesis is a very common surgical approach in foot and ankle surgery at various anatomic levels. Several techniques have demonstrated the ability to provide successful fusion with appropriate preparation of the joint in question. With that in mind, the joint preparation, regardless of approach or instrumentation, is consistently the most time-consuming.
View Article and Find Full Text PDFBackground: Snow mold caused by different psychrophilic phytopathogenic fungi is a devastating disease of winter cereals. The variability of the snow mold pathocomplex (the quantitative composition of snow mold fungi) has not been evaluated across different crops or different agrocenoses, and no microbial taxa have been predicted at the whole-microbiome level as potential effective snow mold control agents. Our study aimed to assess the variability of the snow mold pathocomplex in different winter cereal crops (rye, wheat, and triticale) in different agrocenoses following the peak disease progression and to arrange a hierarchical list of microbial taxa predicted to be the main candidates to prevent or, conversely, stimulate the development of snow mold pathogens.
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