An effective spectral unmixing algorithm for flow cytometry based on GA and least squares.

Spectral unmixing algorithm is one of the key technologies for spectral flow cytometer in biology, chemistry and medicine. The proposed algorithm can separate the overlapping spectra automatically without the premeasured single stained or un-stained samples as the basic pure spectra. Genetic algorithm is adopted to search the optimal positions and peak sharps of the basic spectra derived from the unknown components, and then the concentration of each component can be estimated simultaneously by least squares method.

Fully-automatic defects classification and restoration for STM images.

The Scanning tunneling microscope (STM) is a micro instrument designed for surface morphology with nanometer precision. The restoration of the STM image defects usually needs human judgements and manual positioning because of the diversity of the morphology and the randomness of the defects. This paper provides a new fully-automatic method that combines deep convolutional neural classification network and unique restoration algorithms corresponding to different defects.

[Research of the Raman Signal De-Noising Method Based on Feature Extraction].

To improve time resolution of the Raman measurement system, we need to adopt short scanning time. In this case, the weak Raman signal with vibrational spectrum of the molecular structure is easily to be buried by the high background noise, which influences the further analysis seriously. So it is necessary to de-noise the raw Raman signals.

[Design of Raman Spectroscopy Rapid Detection System for Synthetic Edible Pigment Based on PERS].

Based on Plasmon-enhanced Raman Spectroscopy (PERS) technology, the detection system for rapid field determination of synthetic edible pigments in food，such as beverage，meat productsand preserves，is presented. The hardware framework of this detection system is mainly composed of double central control chips (ARM and FPGA), a sample pretreatment module (containing a nanoparticle giving device), a laser diode source, and a spectral data acquisitioning module; Besides, the software can run the sample pretreatment module automatically while receiving the Raman spectrogram. To verify its performance in edible synthetic pigments, the rapid detection system was applied to determine carmine, citrine, allure red in three actual samples (i.

[Baseline Correction Algorithm for Raman Spectroscopy Based on Non-Uniform B-Spline].

As one of the necessary steps for data processing of Raman spectroscopy, baseline correction is commonly used to eliminate the interference of fluorescence spectra. The traditional baseline correction algorithm based on polynomial fitting is simple and easy to implement, but its flexibility is poor due to the uncertain fitting order. In this paper, instead of using polynomial fitting, non-uniform B-spline is proposed to overcome the shortcomings of the traditional method.

[Raman Spectroscopy Measurement System of Dual Wavelength Laser Module].

Fluorescence interference is one of common interference factors during detection of Raman spectroscopy, while shifted-excitation Raman difference spectroscopy (SERDS) is an effective detection means to reject it. SERDS excites the test substance by two laser with different wavelengths, then difference the obtained Raman spectroscopies. SERDS can eliminate the fluorescence interference effectively, because the fluorescence backgrounds of the two spectroscopies are the same while the Raman peaks are translated.

[Baseline correction method for Raman spectroscopy based on B-spline fitting].

Baseline drift is a widespread phenomenon in modern spectroscopy instrumentation, which would bring a very negative impact to the feature extraction of spectrum signal, and the baseline correction method is an important means to solve the problem, which is also the important part of Raman signal preprocessing. The general principle of baseline drift elimination is using the fitting method to the fit the baseline. The traditional fitting method is polynomial fitting, but this method is prone to over-fitting and under-fitting, and the fitting order is difficult to be determined.

[Infrared energy level lifetime measurement system by visible upconversion luminescence detection based on double-pulse injection LD module].

The lifetime of Er3+ and 4I13/2 energy level is of very significance for evaluating the application potential of Er(3+)-doped materials in optical communication. In the present article, based on the Er3+ excited state absorption upconversion (UC) luminescence under 980 nm double-pulse injection LD excitation, the authors detected the red UC luminescence intensity under different time gap between double pulses, then according to the dependence between UC red luminescence intensity and time gap between double pulses, deduced the fitting formula for obtained medial energy level lifetime of Er3+, and actualized the measurement of infrared level lifetime in visible region. So, combining photomultiplier tube (R2658) with double-pulse injection LD module with controllable time gap and synchronous pulse sample, we can obtain all the infrared level lifetime of Er3+, and this is a cost saving lifetime measurement system with micros resolution.