3-D Image Reconstruction of Biological Organelles With a Robot-Aided Microscopy System for Intracellular Surgery

Wendi Gao, Adnan Shakoor, Libo Zhao, Zhuangde Jiang, Dong Sun

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

17 Citations (Scopus)

Abstract

Intracellular surgery suffers from a low success rate due to the lack of three-dimensional (3-D) position feedback of selected organelles. In this study, we developed a novel robot-aided microscopy system and 3-D reconstruction algorithm to conduct intracellular surgery with 3-D information. A series of optical sections along the vertical direction was obtained by microscopy lens movement. A 3-D reconstruction model of the specimen was realized after several deconvolution, segmentation, and reconstruction processes. Simulations and experiments were performed to verify the accuracy of the proposed algorithm. Furthermore, 3-D reconstruction position feedback was applied to extract mitochondria via a robot-aided wide-field fluorescence system. The proposed approach facilitates intracellular surgeries, such as organelle biopsy and cell injection.
Original languageEnglish
Article number8573907
Pages (from-to)231-238
JournalIEEE Robotics and Automation Letters
Volume4
Issue number2
Online published12 Dec 2018
DOIs
Publication statusPublished - Apr 2019

Research Keywords

  • Robot-aided microscopy
  • 3-D reconstruction
  • intracellular surgery
  • organelles
  • wide-field fluorescence
  • DECONVOLUTION
  • REGULARIZATION
  • ALGORITHM

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