BACKGROUND:To obtain more quantum dot (QD) barcodes,the overlay peaks of fluorescence occur,leading to difficulties in identifying QD barcodes.OBJECTIVE:To identify QD barcodes of two adjacent wave length using wavelet transform technique.METHODS:Through the microscopy,the spectrum of fluorescence induced by 375 nm light was captured by spectroscopy.The spectral signal was split into multi-scale components by wavelet transform.After transformed by spline function,every component constructed a new spectrum with peaks expanded by inverse wavelet transform.RESULTS AND CONCLUSION:Interpolation operation was performed on original data to control the data length to 2n.Following wavelet transform,peak location remained unchanged,so the eigenvalue of spectrum of coding fluorescence was extracted.The spectrum of fluorescence mixed with microspheres was split,and two QD barcodes were identified.The improved barcodes identification of adjacent spectrum increase color of QD barcodes,thereby enhancing code information volume.Results show that following spectrum was processed by wavelet transform,overlay peaks of fluorescence has be expanded,and enhanced the efficiency of recognition,which lays a foundation for detecting tumor markers.

2 mmx3 mm experimental windows were prepared in adamant slippery surfaces of 7 fresh uprooted permanent teeth. The teeth surfaces in the windows area were demineralized to create artificial caries mould of early stage by aciding the experimental teeth surfaces of 0, 12, 24, 48, 72, 96, 120 hours with demineralized liquid (pH 4.5) in vitro. The demineralized changes on the experimental teeth surfaces were detected by dental Optical Coherence Tomography (OCT) system, which were newly developed by our research group recently, and the detecting results were compared with clinical digital photomicrography and scanning electron microscopy on the same tooth sample, to checkout the efficacy and feasibility of dental OCT for early quantification detecting of artificial enamel demineralization in vitro. The dental OCT system can safelydetect early enamel demineralization of micron level and noninvasively obtain fine resolution quantification information both in surfaces view and sectional view; OCT could accurately detect surface demineralization changes on the experimental windows of artificial dental caries as early as after 12 hours aciding treatment, earlier than the visual inspection and clinical digital photomicrography. OCT could obtain both superficial view and sectional view of quantificational demineralization in early enamel caries homeochronously, and had high correlation to the results of ultramicromorphological changes detected by scanning electron microscopy. Dental OCT system developed by our group could accurately detect early artificial dental caries atraumaticly with high sensitivity and safety. Moreover, it can obtain quantification data in micron level without damaging the experimental teeth samples.