Observation of dynamics inside an unlabeled live cell using bright-field photon microscopy: Evaluation of organelles' trajectories

TL;DR

This paper introduces a novel algorithm utilizing Rényi information entropy to accurately track organelle trajectories within unlabeled live cells using bright-field microscopy, enhancing intracellular dynamics analysis.

Contribution

The study presents a new image analysis algorithm that improves localization precision of organelles in live cells without labeling, based on point information gain from Rényi entropy.

Findings

Accurate localization of organelles with one-pixel precision.

Effective tracking of organelle trajectories in unlabeled live cells.

Enhanced visualization of intracellular structures using the proposed method.

Abstract

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 R\'enyi 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.