Quantum limit of photon-counting imaging based on compressed sensing.

We experimentally demonstrate that the sensitivity of photon-counting imaging can be improved by 2 orders of magnitude with the compressed sensing (CS) theory. The maximum sensitivity of CS imaging under the quantum limit, which is approximately 1 photon in each pixel during one measurement, is quantitatively obtained through theoretical derivation and proved experimentally. The influences of dark noise and shot noise on photon-counting imaging are also studied to confirm the fundamental constrains on the imaging sensitivity of different imaging methods, which can guide the effort for further enhancing the ultra-weak light imaging ability.

Up- and Down-regulated Leukemia-related Protein 16 Affects ERα Expression and Prolactin Secretion by GH3 Cells.

Prolactinoma is an estrogen-related tumor and leukemia-related protein 16 (LRP16) is correlated with the progression of estrogen-related tumors, but the regulatory mechanism between LRP16 and prolactinoma remain unclear. This study demonstrates a variation in LRP16 with estrogen receptor α (ERα) in prolactinoma models and the up and downregulation effects of LRP16 on prolactin secretion of pituitary adenomas cells (GH3 cells). In our study, 50 male SD rats (30-day-old) were randomly divided into five groups of 10 rats each. After 120 days of treatment, the rats were sacrificed, and the expression of LRP16 and ERα were examined by Western blot and immunohistochemistry to explore the changes in ERα, LRP16, and prolactin. After siRNA transfection of the respective genes, the GH3 cells were cultured, and their secretory function as well as the expression of ERα mRNA and prolactin were analyzed by enzyme-linked immunosorbent assay and real-time-polymerase chain reaction analysis. The results show that secretion of prolactin by GH3 cells can be affected by up and downregulating LRP16 expression, which may provide a novel medical therapy in clinical trials.

Induced apoptosis of osteoblasts proliferating on polyhydroxyalkanoates.

The mechanism study on behaviors of cells influenced by biomaterial surface properties can provide profound guidances for functional tissue engineering scaffolds design. In this study, regulation of integrin-mediated cell-substrate interactions using rat osteoblasts incubated on PHA films was investigated. Compared with tissue culture plate (TCP), poly-3-hydroxybutyrate (PHB), copolymer of 3-hydroxybutyrate and 3-hydroxyvalerate (PHBV) and copolymer of 3-hydroxybutyrate and 3-hydroxyhexanoate (PHBHHx), osteoblasts inoculated on a terpolymer of 3-hydroxybutyrate, 3-hydroxyvalerate and 3-hydroxyhexanoate (PHBVHHx) were found to have higher apoptosis rates. Several integrin subunits in osteoblasts grown on PHBVHHx showed altered expressions. Simultaneously, extracellular matrics (ECM) were also remodeled on the material surface. Osteoblasts showed a higher expression of integrin subunit ß3 and αv on PHBVHHx films compared with that on TCP. On the other hand, less vitronectin, osteopontin and fibronectin, the main ligands for integrin ß3 were expressed and deposited in ECM. The unligated integrin ß3 could recruit caspase-8 to the membrane and activate its downstream signaling which was proven by the caspase-8 activation assay. It was therefore concluded that the induced apoptosis of osteoblasts on PHBVHHx was regulated by recruitment of caspase-8 to the unligated integrin ß3.

An assessment of the risks of carcinogenicity associated with polyhydroxyalkanoates through an analysis of DNA aneuploid and telomerase activity.

Polyhydroxyalkanoates (PHA) are aliphatic polyesters synthesized by many bacteria. Because of their flexible mechanical strengths, superior elastic property, biodegradability and biocompatibility, PHA have been developed for applications as medical implants, drug delivery matrices, and devices to support cell growth. Lots of studies showed that PHA matrices improved cell proliferation and tissue regeneration. However, the possibility of whether rapid cell proliferation on PHA matrices will induce tumor formation is unclear. Here we confirmed that proliferating rat osteoblasts grown on films of various PHA including PHB, PHBV, P3HB4HB, PHBHHx and PHBVHHx did not lead to cancer induction at least for p8th. Cell proliferation was evaluated by the incorporation of 5-bromodeoxyuridine (BrdU), the transcript expression of cancer related genes Ki67, p53 and c-Fos was monitored by quantitative Real-time PCR, the results showed the cells proliferating on the PHA films were under normal cell cycle regulation. Moreover, DNA aneuploid and telomerase activity were only detected in the positive control UMR-108 cells; compared with cells grown on films, UMR-108 cells had longer telomeres, further demonstrated the normal status of cells proliferating on the PHA films. It indicated that the above PHA family members could be used to support cell growth without indication of susceptibility to tumor induction. These results will be important for promoting the application of PHA as new members of biomaterials.

[Data analysis of laser desorption/ionization mass spectrum of individual particle using adaptive resonance theory based neural network].

On-line measurement of size and chemical composition of single particle using an aerosol laser time-of-flight mass spectrometer (ALTOFMS) was designed in our lab. Each particle's aerodynamic diameter is determined by measuring the delay time between two continuous-wave lasers operating at 650 nm. A Nd : YAG laser desorbs and ionizes molecules from the particle, and the time-of-flight mass spectrometer collects a mass spectrum of the generated ions. Then the composition of single particle is obtained. ALTOFMS generates large amount of data during the process period. How to process these data quickly and extract valuable information is one of the key problems for the ALTOFMS. In the present paper, an adaptive resonance theory-based neural network, ART-2a algorithm, was used to classify mixed mass spectra of aerosol particles of NaCl, CaCl2, dioctylphthalate (DOP), and 2,5-dihydroxybenzoic acid (DHB). Compared with the traditional methods, ART-2a can recognize input patterns self-organically, self-adaptively and self-steadily without considering the complexity and the number of the patterns, so it is more favorable for the analysis of the mass spectra data. Experimental results show that when vigilance parameter is 0.40, learning rate is 0.05 and iteration number is 6, ART-2a algorithm can successfully reveal these four particle categories. The weight vectors for these four particle classes were obtained, which can represent the characters of these four particle classes remarkably.

[Trace detection of ammonia at 1.531 microm].

A compact instrument based on the off-axis integrated-cavity output spectroscopy (ICOS) technology was developed for sensitive measurements of gas mixing ratios (ammonia in air) at room temperature by using fiber-coupled distributed feedback (DFB) diode laser operating at 1.531 microm. The absorption line of ammonia at 6 528.764 cm(-1) was chosen for trace detection. The mirrors' effective reflectivity R2 of 0.996 9 was first calibrated by carbon dioxide under this condition, and the cavity 35.8 cm in length as an absorption cell could yield an optical path of presumably 115.46 m. As a result, a minimum detectable concentration of approximately 2.66 ppmv (S/N-3) at the total pressure of 100 torr was obtained. Then the lock-in amplifier was added in the system to acquire the second harmonic signal by combination of wavelength modulation technology, which could better suppress background noise and improve the signal-to-noise ratio, and a detection limit of 0.293 ppmv (S/N-3) was achieved eventually. This work demonstrated the potential of the system for a range of atmospheric species sensing in the future.

[Data analysis of laser desorption/ionization mass spectrum of atmospheric aerosol particles using fuzzy clustering algorithms].

On-line measurement of size and composition of single particle using an aerosol time-of-flight Laser mass spectrometry (ATOFLMS) had been designed in our lab. Each particle's aerodynamic diameter is determined by measuring the delay time between two continuous-wave lasers, A Nd : YAG laser desorbs and ionizes molecules from the particle, and the time-of-flight mass spectrometer collects a mass spectrum of the generated ions. Then the composition of single particle is obtained. ATOFLMS generates large amount of data during the process period. How to process these data and extract valuable information is one of the key problems for the ATOFLMS. In this paper, the fuzzy clustering used to classify large numbers of mass spectral of air indoor by an ATOFLMS. Each revised spectrum is converted to a normalized 300-point vector, each point representing one mass unit. Then the positive ion mass spectra of a single particle are described as 300-dimensional data vectors using the ion masses as dimensions and the ion signal peak areas as values. The data vectors of all particles measured are written into a classification matrix. Each spectrum's data was stored as one row in this matrix. The Fuzzy c-means algorithm is an iterative method starting the calculation with random class centers to find a substructure in the data. The procedure works in such a way that finally similar objects (particle spectra) have a minimum distance between their corresponding data vectors, on the one hand, and to the center of a cluster, on the other hand. So the aim of the iteration is to find local minima in the N-dimensional space where N is the number of evaluated peak masses. The particle data used in this study were collected over a period one day in Hefei. During the campaign, inorganic salts, mineral particles, and carbonaceous particles, with varying degrees of secondary components, were identified. The detection results of particle size exhibit that aerosol is predominanantly in the form of fine particles, and the particles whose diameter larger than 1 microm are scare. The particles whose diameter less than 1 microm are make up of 95% of the total particles, and these particles are major distributed in 0.4-0.8 microm.

[Single particle measurement of suspended soil dust using laser desorption/ionization time-of-flight mass spectrometry].

Real-time measurement of size and composition of single soil dust particles using an aerosol time-of-flight laser mas spectrometry (ATOFLMS) was designed in our lab. Each particle's aerodynamic diameter was determined by measuring the delay time between two continuous-wave lasers, a Nd:YAG laser with a 266 nm pulsed output was used to desorb and ionize aerosol particles, and ions formed in the laser desorption/ionization process were accelerated into the time-of-flight drift region where they separated by mass-to-charge ratio, then the composition of single particle was obtained. In the present paper, soil samples were collected from four different areas in China. After the pretreatment and suspension, the particle sample was then transferred to ATOFLMS through a plastic transfer line. During the campaign, a large number of size and mass spectra of single par ticles were obtained. The presence of crustal elements was observed in the mass spectra of individual particles. Iron, potassium aluminum and calcium constitute the two most commonly detected cations. Other common cations observed in the mass spectra o soil particles include magnesium, and sodium. The detection results exhibit that the coarse particles with size of 1-2 microm are dominate in the detected particles. Experimental results show the ATOFLMS have important practical value for researching and monitoring of atmospheric aerosol environment.