title: Analysis of cellular objects through diffraction images acquired by flow cytometry.
abstract: It was found that the diffraction images acquired along the side scattering directions with objects in a cell sample contain pattern variations at both the global and local scales. We show here that the global pattern variation is associated with the categorical size and morphological heterogeneity of the imaged objects. An automated image processing method has been developed to separate the acquired diffraction images into three types of global patterns. Combined with previously developed method for quantifying local texture pattern variations, the new method allows fully automated analysis of diffraction images for rapid and label-free classification of cells according to their 3D morphology.
authors.forename: Jun
authors.initials: J
authors.lastname: Zhang
authors.forename: Yuanming
authors.initials: Y
authors.lastname: Feng
authors.forename: Marina S
authors.initials: MS
authors.lastname: Moran
authors.forename: Jun Q
authors.initials: JQ
authors.lastname: Lu
authors.forename: Li V
authors.initials: LV
authors.lastname: Yang
authors.forename: Yu
authors.initials: Y
authors.lastname: Sa
authors.forename: Ning
authors.initials: N
authors.lastname: Zhang
authors.forename: Lixue
authors.initials: L
authors.lastname: Dong
authors.forename: Xin-Hua
authors.initials: XH
authors.lastname: Hu
mesh_terms: D000465:Algorithms; D002468:Cell Physiological Phenomena; D002469:Cell Separation / Q000379:methods*; D005434:Flow Cytometry / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D012031:Refractometry / Q000379:methods*