Annotation-free learning of a spatio-temporal manifold of the cell life cycle.

The cell cycle is a complex biological phenomenon, which plays an important role in many cell biological processes and disease states. Machine learning is emerging to be a pivotal technique for the study of the cell cycle, resulting in a number of available tools and models for the analysis of the cell cycle. Most, however, heavily rely on expert annotations, prior knowledge of mechanisms, and imaging with several fluorescent markers to train their models.

Benzalkonium chloride in an orthodontic adhesive: Its effect on rat enamel demineralization using color-based image analysis.

Introduction: The aim of this study was to determine the effect of an orthodontic bonding adhesive containing benzalkonium chloride (BAC) on enamel demineralization.

Methods: Eighteen female Sprague-Dawley rats, aged 8 to 10 weeks, were inoculated with Streptococcus sobrinus for 5 days. The animals were randomly divided into the control, non-BAC, and BAC groups.