title: A computational method to geometric measure of biological particles and application to DNA microarray spot size estimation.
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.
authors.affiliation: Department of Electrical and Systems Engineering, Washington University, St. Louis, MO, 63130, USA, mingjunzhang@ieee.org.
authors.forename: Mingjun
authors.initials: M
authors.lastname: Zhang
authors.forename: Kaixuan
authors.initials: K
authors.lastname: Mao
authors.forename: Weimin
authors.initials: W
authors.lastname: Tao
authors.forename: Tzyh-Jong
authors.initials: TJ
authors.lastname: Tarn
mesh_terms: D020869:Gene Expression Profiling; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D046228:Microarray Analysis / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis; D010363:Pattern Recognition, Automated