Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Department of Software and Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Curr Opin Cell Biol. 2024 Aug;89:102378. doi: 10.1016/j.ceb.2024.102378. Epub 2024 Jun 4.
In silico labeling is the computational cross-modality image translation where the output modality is a subcellular marker that is not specifically encoded in the input image, for example, in silico localization of organelles from transmitted light images. In principle, in silico labeling has the potential to facilitate rapid live imaging of multiple organelles with reduced photobleaching and phototoxicity, a technology enabling a major leap toward understanding the cell as an integrated complex system. However, five years have passed since feasibility was attained, without any demonstration of using in silico labeling to uncover new biological insight. In here, we discuss the current state of in silico labeling, the limitations preventing it from becoming a practical tool, and how we can overcome these limitations to reach its full potential.
计算标记是一种跨模态图像转换，其输出模态是输入图像中未特别编码的亚细胞标记物，例如，通过透射光图像进行细胞器的计算定位。原则上，计算标记有可能通过减少光漂白和光毒性来促进对多个细胞器的快速实时成像，这一技术使我们能够朝着理解细胞作为一个集成的复杂系统迈出重大一步。然而，自从可行性得以实现以来已经过去了五年，但是并没有任何使用计算标记来揭示新的生物学见解的例子。在这里，我们讨论了计算标记的现状、阻止其成为实用工具的限制，以及我们如何克服这些限制以充分发挥其潜力。
