Observation of dynamics inside an unlabeled live cell using bright-field photon microscopy: Evaluation of organelles' trajectories
This work addresses the challenge of analyzing intracellular dynamics in unlabeled live cells, which is important for cell biology research, but it appears incremental as it builds on existing entropy-based methods for image analysis.
The authors tackled the problem of tracking organelle movements in live cells using bright-field microscopy by developing an algorithm that applies Rényi information entropy to highlight organelle borders and localize centers of mass with one-pixel precision.
This article presents an algorithm for the evaluation of organelles' movements inside of an unmodified live cell. We used a time-lapse image series obtained using wide-field bright-field photon transmission microscopy as an algorithm input. The benefit of the algorithm is the application of the Rényi information entropy, namely a variable called a point information gain, which enables to highlight the borders of the intracellular organelles and to localize the organelles' centers of mass with the precision of one pixel.