Literature DB >> 16937168

A computational method to geometric measure of biological particles and application to DNA microarray spot size estimation.

Mingjun Zhang1, Kaixuan Mao, Weimin Tao, Tzyh-Jong Tarn.   

Abstract

Geometric measures (volume, area and length) of biological particles are of fundamental interest for biological studies. Many times, the measures are at micro-/nano-scale, and based on images of the biological particles. This paper proposes a computational method to geometric measure of biological particles. The method has been applied to DNA microarray spot size estimation. Compared with existing algorithms for microarray spot size estimation, the proposed method is computational efficient and also provides confidence probability on the measure. The contributions of this paper include a generic computational method to geometric measure of biological particles and application to DNA microarray spot size estimation.

Mesh:

Year:  2006        PMID: 16937168     DOI: 10.1007/s11517-006-0031-7

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  3 in total

1.  Microarray optimizations: increasing spot accuracy and automated identification of true microarray signals.

Authors:  Peter H Tran; Daniel A Peiffer; Yongchol Shin; Lauren M Meek; James P Brody; Ken W Y Cho
Journal:  Nucleic Acids Res       Date:  2002-06-15       Impact factor: 16.971

2.  Application of wavelet modulus maxima in microarray spots recognition.

Authors:  X H Wang; Robert S H Istepanian; Yong Hua Song
Journal:  IEEE Trans Nanobioscience       Date:  2003-12       Impact factor: 2.935

3.  Gridline: automatic grid alignment in DNA microarray scans.

Authors:  Peter Bajcsy
Journal:  IEEE Trans Image Process       Date:  2004-01       Impact factor: 10.856

  3 in total
  2 in total

1.  Low-complexity PDE-based approach for automatic microarray image processing.

Authors:  Bogdan Belean; Romulus Terebes; Adrian Bot
Journal:  Med Biol Eng Comput       Date:  2014-10-29       Impact factor: 2.602

2.  Unsupervised image segmentation for microarray spots with irregular contours and inner holes.

Authors:  Bogdan Belean; Monica Borda; Jörg Ackermann; Ina Koch; Ovidiu Balacescu
Journal:  BMC Bioinformatics       Date:  2015-12-23       Impact factor: 3.169

  2 in total

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