Evaluating the performance of watershed and morphology on microarray spot segmentation

2010 ◽  
Author(s):  
Ayyagari Sri Nagesh ◽  
G. P. S. Varma ◽  
A. Govardhan
Keyword(s):  
Microarray Spot

Development of a Cascade Processing Method for Microarray Spot Segmentation

2007 ◽  
pp. 410-417
Author(s):  
Antonis Daskalakis ◽  
Dionisis Cavouras ◽  
Panagiotis Bougioukos ◽  
Spiros Kostopoulos ◽  
Ioannis Kalatzis ◽  
...  
Keyword(s):  
Processing Method ◽  
Microarray Spot

Optimizing Pin-Printed and Hydrosilylated Microarray Spot Density on Porous Silicon Platforms

Langmuir ◽  
2015 ◽  
Vol 31 (41) ◽  
pp. 11370-11377 ◽  
Author(s):  
Dustin T. McCall ◽  
Yi Zhang ◽  
Daniel J. Hook ◽  
Frank V. Bright
Keyword(s):  
Porous Silicon ◽  
Microarray Spot

scholarly journals Real-Time Fluorescent Image Analysis of DNA Spot Hybridization Kinetics To Assess Microarray Spot Heterogeneity

2012 ◽  
Vol 84 (21) ◽  
pp. 9379-9387 ◽  
Author(s):  
Archana N. Rao ◽  
Christopher K. Rodesch ◽  
David W. Grainger
Keyword(s):  
Image Analysis ◽  
Real Time ◽  
Fluorescent Image ◽  
Spot Hybridization ◽  
Microarray Spot

scholarly journals Controlling Microarray Spot Morphology with Polymer Liftoff Arrays

2007 ◽  
Vol 79 (3) ◽  
pp. 1109-1114 ◽  
Author(s):  
Jose M. Moran-Mirabal ◽  
Christine P. Tan ◽  
Reid N. Orth ◽  
Eric O. Williams ◽  
Harold G. Craighead ◽  
...  
Keyword(s):  
Microarray Spot

A Combinational Fuzzy Clustering Approach for Microarray Spot Segmentation

2017 ◽  
pp. 326-344
Author(s):  
Ong Pauline ◽  
Zarita Zainuddin
Keyword(s):  
Image Analysis ◽  
Performance Assessment ◽  
Fuzzy Clustering ◽  
Hybrid Algorithm ◽  
Hybrid Approach ◽  
Microarray Experiment ◽  
Shape Detection ◽  
Microarray Image ◽  
Clustering Approach ◽  
Microarray Spot

Due to microarray experiment imperfection, spots with various artifacts are often found in microarray image. A more rigorous spot recognition approach in ensuring successful image analysis is crucial. In this paper, a novel hybrid algorithm was proposed. A wavelet approach was applied, along with an intensity-based shape detection simultaneously to locate the contour of the microarray spots. The proposed algorithm segmented all the imperfect spots accurately. Performance assessment with the classical methods, i.e., the fixed circle, adaptive circle, adaptive shape and histogram segmentation showed that the proposed hybrid approach outperformed these methods.

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