Quantitative Analysis of 3D Refractive Index Maps

Nanolive’s 3D Cell Explorer allows for the creation of high-content 3D images of living cells with very high spatio-temporal resolution (x, y:180nm; z:400nm; t:1.7sec). Being able to extract quantitative data describing the objects (population of cells, cells, organelles) contained in such images is at the core of leading-edge cell biology research. This application note will start where application note 2 (AppNote2017-2) stopped by looking at how meaningful numbers can be extracted from segmented objects using FIJI. We will then bring some cellular features in perspective to help you to start elegant quantitative studies with the 3D Cell Explorer.

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