This issue’s cover shows two Camponotus sanctus ants performing trophallaxis, the social sharing of food. In many species of social insects, an elaborate network of trophallactic interactions is the main means to distribute nutrients and physiological regulatory signals between individuals. Tracking the flows of nutrients throughout the colony is important for gaining mechanistic understanding of the collective regulation of nutrition and development. In their article, Baltiansky et al. present a dual-fluorescence imaging system that allows to quantitatively track the simultaneous distribution of two materials throughout the colony. In addition, they present a deep neural network for the automatic detection of ant trophallaxis events. Together, these advances serve as an efficient, non-disruptive way to observe the inner-workings of colonies of social insects.

中文翻译：

---

封面图片和问题信息

本期封面展示了两个Camponotus sanctus蚂蚁执行 trophallaxis，食物的社会共享。在许多群居昆虫中，复杂的滋养层相互作用网络是在个体之间分配营养和生理调节信号的主要手段。跟踪整个菌落的营养流动对于获得对营养和发育的集体调节的机械理解很重要。在他们的文章中，Baltiansky 等人。提出了一种双荧光成像系统，可以定量跟踪两种材料在整个菌落中的同时分布。此外，他们提出了一个深度神经网络，用于自动检测蚂蚁吞噬事件。总之，这些进步是观察群居昆虫群落内部运作的一种高效、无干扰的方式。