![]() Rather, they dynamically adjust their morphology in response to the physiological and pathological changes within tissue. In addition, such projections, and their endings, crucial for cellular communication, are not static. Neurons, for instance, possess projections, axons and dendrites, that vary in size and intermingle with other cellular structures to form very complex morphologies. The human body is composed of diverse cell types and structures with various shapes. Lusca’s automated and precise measurement capability makes it an ideal choice for diverse biological image analyses. Its implementation of machine learning-based segmentation facilitates versatile applications for different cell types and biological structures, including mitochondria, fibres, and vessels. With three times larger execution speed, fewer false positive and negative results, and the capacity to measure various parameters, Lusca surpasses other existing open-source solutions. Consequently, it ensures quicker and more precise quantification by effectively eliminating noise and discerning subtle details. This is a significant enhancement compared to other scripts that offer only 5–15 parameters. Moreover, in conjunction with colocalization measurements, it provides an extensive set of 29 morphometric parameters for both 2D and 3D analysis. It performs particle analysis to ascertain parameters such as area/volume, quantity, and intensity, in addition to skeletonization for determining length, branching, and width. Lusca utilizes machine learning for image segmentation with intensity and size thresholds. ![]() Aiming to enhance image analysis of complex biological forms including neurons using available FIJI (ImageJ) plugins, Lusca, an advanced open-source tool, was developed. ![]() Neurons possess varying-sized projections that interact with different cellular structures leading to the development of highly complex morphologies. The human body consists of diverse subcellular, cellular and supracellular structures.
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