This paper summarizes the recent advances in image processing methods for morphological cell analysis. The topic of morphological analysis has received much attention with the increasing demands in both bioinformatics and biomedical applications. Among many factors that affect the diagnosis of a disease, morphological cell analysis and statistics have made great contributions to results and effects for a doctor. Morphological cell analysis finds the cellar shape, cellar regularity, classification, statistics, diagnosis, and so forth. In the last 20 years, about 1000 publications have reported the use of morphological cell analysis in biomedical research. Relevant solutions encompass a rather wide application area, such as cell clumps segmentation, morphological characteristics extraction, 3D reconstruction, abnormal cells identification, and statistical analysis. These reports are summarized in this paper to enable easy referral to suitable methods for practical solutions. Representative contributions and future research trends are also addressed.

Feature analysis and classification detection of abnormal cells from images for pathological analysis are an important issue for the realization of computer assisted disease diagnosis. This paper studies a method for cervical squamous epithelial cells. Based on cervical cytological classification standard and expert diagnostic experience, expressive descriptors are extracted according to morphology, color, and texture features of cervical scales epithelial cells. Further, quantificational descriptors related to cytopathology are derived as well, including morphological difference degree, cell hyperkeratosis, and deeply stained degree. The relationship between quantified value and pathological feature can be established by these descriptors. Finally, an effective method is proposed for detecting abnormal cells based on feature quantification. Integrated with clinical experience, the method can realize fast abnormal cell detection and preliminary cell classification.

This study has a two-fold objective: 1) to examine the density and variety of parallelism in Virginia Woolf’s landmark novel <em>To the Lighthouse</em> through a sample-based comparison between this novel and other representative modernist novels; 2) to discuss the specific lexical and syntactic structures that characterize Woolf’s parallelism. The results are extracted from a corpus-assisted reading and sampled textual analysis of her work. It shows that Woolfian parallelism is defined by an abundance of antithetical and synonymous lexical bundles, juxtaposed propositional phrases, -ing participles and appositional structures. Those structures constitute her special sentential development which is marked by the rhetoric of opposition, the rhetoric of simultaneity and progression, and the rhetoric of specificity. It is concluded that in <em>To the Lighthouse</em>, Woolf manipulates the above-mentioned linguistic resources to strike an artistic balance between poetry and prose, order and chaos, the physical reality and the mental world, and finally achieves what she calls “a feminine sentence”.