SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to S
DOI: 10.1109/icsmc.2000.886249
|View full text |Cite
|
Sign up to set email alerts
|

Cell detection and tracking for micromanipulation vision system of cell-operation robot

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…In [9], a linear observer is designed for detecting the cutting tool wear. In [10], an adaptive observer technique is proposed for actuator fault diagnosis due to wear and deterioration with time. In [11], a dynamical model is presented to detect incipient faults.…”
Section: Introductionmentioning
confidence: 99%
“…In [9], a linear observer is designed for detecting the cutting tool wear. In [10], an adaptive observer technique is proposed for actuator fault diagnosis due to wear and deterioration with time. In [11], a dynamical model is presented to detect incipient faults.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, a Hough circle detection [16] -as one of the most common and reliable methods could be applied to detect the cells. A complete cell detection algorithm, where the coarse detection eliminates the unwanted parts and the fine detection, precisely tracks the wanted cell using Bayesian estimation, is described in [17]. Another approach is to compare the captured images with an existing database of oocyte cells.…”
Section: Cells Detectionmentioning
confidence: 99%
“…More functionalities have been encapsuled into smaller and smaller volume. Micromanipulation has found its potential in many industrial [10] and bioengineering fields [11][12][13]. The need for hybrid MEMS devices, such as actuators, sensors, optical devices etc is apparent [14][15][16].…”
Section: Motivationmentioning
confidence: 99%