[Selective effect of nispex in inhibiting human cancer cell proliferation and inducing cell apoptosis].

Objective: To observe the in vitro anticancer effect of Nispex, the total flavonoids extract from Scurrula parasitic L.

Methods: The cell proliferation inhibitory effects of Nispex on various kinds of tumor cells or non-tumor cells in human and rats were detected with MTT assay and colony forming assay respectively, the cell apoptosis induced by Nispex was detected by AO/EB fluorescence staining, TUNEL assay and AnnexinV-FITC/PI flow cytometry.

Results: Nispex could significantly inhibit human cancer cell proliferation and induce human cancer cell apoptosis, especially to the proliferative cell group, but its inhibition on human non-tumor cell was insignificant, and showed no effect on murine cancer cells in the tested scope.

[Study on cytotoxic activities on human leukemia cell line HL-60 by flavonoids extracts of Scurrula parasitica from four different host trees].

Objective: To compare the anticancer effects of flavonoids extracts of Scurrula parasitica from different host trees in vitro.

Method: 80% ethanol extracts of S. parasitica parasitizing on Nernium indicum, Morus alba, Opsmanthus fragrans, and Sapindus mulorossi were purified by polyamides column chromatography, and the eluates of 30%, 50%, 70% and 90% ethanol were mixed as flavonoids extracts.

Optimized stereo reconstruction of free-form space curves based on a nonuniform rational B-spline model.

Analytical reconstruction of 3D curves from their stereo images is an important issue in computer vision. We present an optimization framework for such a problem based on a nonuniform rational B-spline (NURBS) curve model that converts reconstruction of a 3D curve into reconstruction of control points and weights of a NURBS representation of the curve, accordingly bypassing the error-prone point-to-point correspondence matching. Perspective invariance of NURBS curves and constraints deduced on stereo NURBS curves are employed to formulate the 3D curve reconstruction problem into a constrained nonlinear optimization.