Department of Zoology, The University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
Department of Zoology, The University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
Cold Spring Harb Protoc. 2024 Jul 1;2024(7):pdb.prot108342. doi: 10.1101/pdb.prot108342.
Egg-laying preferences of mosquitoes can reveal key neurosensory mechanisms informing the decision-making process for this critical behavior. A single blood meal results in a gravid female mosquito laying more than 100 eggs. Therefore, egg counting represents a potentially time-consuming and laborious component to behavioral assays, such as those that measure oviposition preference or fecundity. Automated algorithms that count eggs from images can dramatically reduce the time required for this step of data processing and analysis and increase reproducibility associated with having multiple human observers count the eggs. Here, we present two distinct approaches for counting melanized eggs laid on white filter paper.
蚊子产卵偏好可以揭示关键的神经感觉机制，为这一关键行为的决策过程提供信息。一次吸血会导致一只怀孕的雌性蚊子产下超过 100 个卵。因此，对于行为测定，如产卵偏好或繁殖力测定等，卵计数是一个潜在的耗时费力的组成部分。从图像中计数卵的自动算法可以显著减少处理和分析数据这一步骤所需的时间，并增加与多个人类观察者计数卵相关的可重复性。在这里，我们提出了两种在白色滤纸上计数黑化卵的不同方法。
