Nanolive SA
2 software found

Nanolive SA software

Nanolive - EVE Analytics Software for Live Cell Imaging and Analysis

EVE Analytics is an advanced image analysis package developed by Nanolive designed for live cell imaging and analysis. It operates in conjunction with Nanolive's 3D Cell Explorer series, including the 96focus and Explorer-fluo, offering a significant advancement in quantitative cell imaging. EVE Analytics provides a user-friendly interface for segmenting and analyzing high-content, biologically relevant data, delivering metrics such as dry mass, cell count, and cell circularity in parallel. This package is particularly useful for long-term experiments as it manages significant changes in cell confluency without quality loss. EVE Analytics captures continuous, multiplexed data, allowing for detailed, simultaneous analyses of cell morphology and population dynamics. The label-free technology revolves around high-resolution imaging over extended periods, overcoming the complexities of manual image analysis through computer-aided processing, thus facilitating the understanding and visualization of intricate biological processes.

Nanolive - Smart Lipid Droplet Assay Software for Analyzing Lipid Droplets Dynamics

The Smart Lipid Droplet Assay is a pioneering tool in lipid research, offering a label-free, push-button solution for high-precision segmentation and analysis of lipid droplets (LDs) in live cells. Utilizing the distinctive refractive index of lipid droplets, the assay eliminates the need for additional stains or dyes, thus preserving the native state of the cells and avoiding phototoxicity. It provides researchers with 39 metrics for a comprehensive analysis of LD morphology, content, and distribution at the single-cell level and across cell populations. This assay is particularly notable for its ability to monitor temporal changes in LDs without compromising spatial resolution, making it highly valuable for studying metabolic regulation in cells. By leveraging Nanolive's advanced imaging platform, researchers can achieve sub-cellular resolution in a non-invasive manner, facilitating deeper insights into cellular dynamics and reducing reliance on traditional, more invasive techniques.