arivis Vision4D (V4D) is a modular software for working with multi-channel 2D, 3D, and 4D images of almost unlimited size, independent of available RAM. Many imaging systems, such as high-speed confocal, light sheet / SPIM, and 2-photon microscope systems can produce vast amounts of multi-channel data, which Vision4D handles without constraints.

V4D allows the user to execute complex analysis tasks in automatic or batch mode. This includes sophisticated pre-processing algorithms, multiple segmentation approaches (including machine learning segmentation tools), and powerful data handling. Dataset from Mega- to Terabytes in size can be quantified by Vision4D with a single pipeline on virtually any computer that is capable of holding the data (see system requirements).

StarDist represents an advanced method to detect roundish objects such as cells and nuclei, especially in crowded fields where the objects are overlapping, but it is limited to these cases. The new frontiers of image analysis in life science need the capability to analyze the complex iterations between biological structures. Vision4D has the tools to satisfy these requirements. StarDist can be integrated into the V4D analysis workflow and directly contribute to better detect its target structures.

StarDist can already be currently executed as a python script but, in the near future, it will be available as a V4D pipeline operator, making its usage even more flexible and powerful.