In this study, a rapid and simple method which combines drop coating deposition and Raman spectroscopy (DCDR) was developed to characterize the dry embryo culture media (ECM) droplet. We demonstrated that Raman spectra obtained from the droplet edge presented useful and characteristic signatures for protein and amino acids assessment. Using a different analytical method, scanning electron microscopy coupled with energy dispersive X-ray analysis, we further confirmed that Na, K, and Cl were mainly detected in the central area of the dry ECM droplet while sulphur, an indicative of the presence of macromolecules such as proteins, was mainly found at the periphery of the droplet. In addition, to reduce sample preparation time, different temperatures for drying the droplets were tested. The results showed that drying temperature at 50°C can effectively reduce the sample preparation time to 6 min (as compared to 50 min for drying at room temperature, ∼25°C ) without inducing thermal damage to the proteins. This work demonstrated that DCDR has potential for rapid and reliable metabolomic profiling of ECM in clinical applications.
Growth in the percentage of male infertility has caused extensive concerns. The fast and reliable method is urgently
required for diagnosis of semen samples. In our study, micro-Raman spectroscopy was employed to characterize and
differentiate the normal and abnormal semen samples based on the differences of their specific Raman spectra which
originated from biochemical components. Our preliminary results demonstrate that micro-Raman spectroscopy combined
with multivariate analysis methods has the potential of being used to detect and differentiate semen samples.
A novel method for rapidly synthesized Au colloidal under microwave irradiation was present in this paper. Size of the
Au nanoparticles varied from 10 nm to 60 nm along with varying mol fractions by chloroauric acid solution reduced with
sodium citrate. The prepared Au nanoparticles were characterized by transmission electron microscope (TEM) and
ultraviolet-visible (UV-Vis) spectrophotometer. It is found that the nanoparticle size and shape are highly dependent on
the reaction time and the molar ratios of the reducing agent. By the SERS measurements of R6G, 4-MBA and Crystal
violet, this Au colloid is shown to be an excellent SERS substrate with good stability. As the fabrication process of this
SERS substrate is simple and inexpensive, this method may be used in large-scale preparation of substrates that can serve
as an ideal SERS substrate in biomedical application.
The enhancement of evanescent waves in multilayer planar waveguides with a uniaxially anisotropic metamaterials layer
is investigated. Without loss of generality, we assume that the anisotropic metamaterials have an arbitrary angle between
the optical axis and the interface, and then we derive the characteristic equations and the analytical expression of energy
flux of this waveguides. It is found that the enhancement factor increases rapidly at first with increasing of the thickness
of the metamaterials in the case when the optical axis is parallel to or normal to the interface, namely the angle is equal
to 0 or π/2. The enhancement factor eventually reaches its maximum when complete surface polaritons are established at
the boundary between the metamaterials and the cladding [D.-K. Qing, G. Chen, Appl. Phy. Lett. 84(5), 669-671 (2004).].
Numerical results confirm our theoretical analysis.
Nasopharyngeal carcinoma (NPC) is one of the most common malignancies in china, with a deep and hidden
localization. Recently, methods for early diagnosis of NPC has become one of the most important research topics in
medical field. Early monitoring of morphological change of NPC cells during the carcinogenesis is of great importance,
and early information extracted from the NPC cells during the initial stage of NPC is critical for diagnosis and treatment.
In this paper, image processing methods for two-photon microscopic image of NPC cells was investigated with the
purpose of providing useful information for early diagnosis and treatment of NPC.
There is abundant information in a two-photon microscopic image of NPC cells, which can be analyzed and processed
by means of computer and image pattern processing algorithm. In this paper, firstly, a mathematical method of transform
of Bottom-hat based on Matlab platform was employed to enhance the image of NPC cells, making the image easier to
distinguish; Then, several classical edge detection algorithms were compared and discussed, for example, Roberts
operator, Prewitt operator, and Canny operator etc. According to the inherent characteristics of two-photon microscopic
image of NPC cells, corrosion algorithm was used to define the edge of NPC cells. Furthermore, the article gets the
iterative threshold segmentation after noise denoising, on the other hand, improved discriminant analysis was adopted for
threshold segmentation of NPC cells, better results were obtained.
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