AI Article Synopsis
- The study addresses the limitations of current techniques for evaluating cell motility and thermodynamic control, leading to the development of a new optical sensor for assessing multiple samples simultaneously.
- The new method utilizes image correlation analysis to track the movement of various motile cells, such as bacteria and spermatozoa, effectively across different conditions.
- Testing with sperm motility revealed optimal preservation of movement at 10 °C and demonstrated a novel thermal reversibility pattern, adding to our understanding of cellular behavior.
Article Abstract
The study of motor properties of cells under appropriate physical-chemical conditions is a significant problem nowadays. The standard techniques presently used do not allow to evaluate neither large samples nor to control their thermodynamic conditions. In this work, we report a cell motility sensor based on an optical technique with a time-resolved correlation, adapted in a system able to study several samples simultaneously. Image correlation analysis is used to follow their temporal behavior. A wide variety of motile cells, such as archaea, bacteria, spermatozoa, and even contractile cells, can be studied using this technique. Here, we tested our technique with the study of sperm motility. In particular, both the sperm motility and its prevalence are studied under a temperature range from 0 to 37 °C. We found that incubation at 10 °C presents the lengthiest prevalence in motility and observed, for the first time, an interesting thermal reversibility behavior.
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| http://dx.doi.org/10.1063/1.3700248 | DOI Listing |
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