Autofocusing and Polar Body Detection in Automated Cell Manipulation

Autofocusing and feature detection are two essential processes for performing automated biological cell manipulation tasks. In this paper, we have introduced a technique capable of focusing on a holding pipette and a mammalian cell under a bright-field microscope automatically, and a technique that...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2017-05, Vol.64 (5), p.1099-1105
Main Authors: Wang, Zenan, Feng, Chen, Ang, Wei Tech, Tan, Steven Yih Min, Latt, Win Tun
Format: Article
Language:English
Subjects:
Algorithms
Animals
Autofocusing
Automation
Biological activity
Biological cells
Biomedical measurement
Biopsy
cell manipulation
Cell Separation - methods
Cell Tracking - methods
Cells, Cultured
computer vision
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
intracytoplasmic sperm injection (ICSI)
Lighting
Mice
Micromanipulation - methods
Microscopy
Oocytes
Polar Bodies - cytology
Reproducibility of Results
Robotics - methods
Sensitivity and Specificity
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Autofocusing and feature detection are two essential processes for performing automated biological cell manipulation tasks. In this paper, we have introduced a technique capable of focusing on a holding pipette and a mammalian cell under a bright-field microscope automatically, and a technique that can detect and track the presence and orientation of the polar body of an oocyte that is rotated at the tip of a micropipette. Both algorithms were evaluated by using mouse oocytes. Experimental results show that both algorithms achieve very high success rates: 100% and 96%. As robust and accurate image processing methods, they can be widely applied to perform various automated biological cell manipulations.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2016.2590995