We develop a metric, 3D directional variance, as a quantitative biomarker of truly 3D collagen organization. We demonstrate how this metric can quantify differences in collagen organization between human normal peritoneum and potential metastases.
The cervix is a collagen-rich connective tissue that must remain closed during pregnancy while undergoing progressive remodeling in preparation for delivery, which begins before the onset of the preterm labor process. Therefore, it is important to resolve the changes of collagen fibers during cervical remodeling for the prevention of preterm labor. Herein, we assessed the spatial organization of collagen fibers in a three-dimensional (3D) context within cervical tissues of mice on day 3, 9, 12, 15 and 18 of gestation. We found that the 3D directional variance, a novel metric of alignment, was higher on day 9 than that on day 3 and then gradually decreased from day 9 to day 18. Compared with two-dimensional (2D) approach, a higher sensitivity was achieved from 3D analysis, highlighting the importance of truly 3D quantification. Moreover, the depth-dependent variation of 3D directional variance was investigated. By combining multiple 3D directional variance-derived metrics, a high level of classification accuracy was acquired in distinguishing different periods of pregnancy. These results demonstrate that 3D directional variance is sensitive to remodeling of collagen fibers within cervical tissues, shedding new light on highly-sensitive, early detection of preterm birth (PTB).
Objective To realize diagnostic value of Coxsackic B viruses IgM?myocardium-antibody and cardiac enzyme in viral myocarditis.Method CBV-IgM were detected with ELISA method,myocardium-antibody were detected with immunohisto-chemical method,cardiac enzyme were detected with full automatic biochemical instruments.Results The positive rate of CBV-IgM is59.58%,The positive rate of myocardium-antibody is37.8%,The positive rate of cardiac enzyme is45.9%.Con clusion It can raise the diagnostic rate of viral myocarditis that combine above three detection methods,and will help with treatment for vi-ral myocarditis.
Objective Study specificity and reproduction quality of restriction enzyme analysis method of detecting coxsackie B group virus.Method To gather 500 blood serum samples of patients (diagnosis undetermined, DU), apply restriction enzyme analysis,Elisa, RT-PCR analysis to detect samples three times, and contrast the results of each method.Results The detection results of samples by Elisa three times were diverse so far (55.4%, 58.4%, 60.6%); the detection results analyzed by RT-PCR have a little difference than former(51.1%,51.6%,52.8%);the detection results of restriction enzyme analysis have excellent uniformity.Conclusion Restriction enzyme analysis which detected coxsackie B group virus was a high specificity and reproduction quality method compared with Elias and RT-PCR, this method showed a significant dominance.
This paper mainly discusses three issues: How Artificial Intelligence (AI) influences China’s economy and shape the production factors. How to realize the network economy effect in China. What is the difference between the value of digital economy and that of traditional economy. On the basis of fully discussing the above problems, the author constructs a new AI economic growth model, and summarizes the research paradigm of digital economy based on value, network, and consensus.
The production of reactor-based medical isotopes is fragile, which has meant supply shortages from time to time. This paper reviews alternative production methods in the form of cyclotrons, linear accelerators and neutron generators. Finally, the status of the production of medical isotopes in China is described.
We report a quantitative metric, 3D directional variance, which characterizes the organization of collagen fibers in a 3D context, and apply it to the assessment of collagen remodeling in a hormone-sensitive 3D breast tissue model.
Spectral-domain Optical Coherence Tomography (SD-OCT) systems generally have nonlinear sampling problems in wavenumber domain. In order to realize the precise positioning of the discrete interfaces and the high-quality reconstruction of OCT images under conventional fast Fourier transform, it is necessary to solve the precise calibration problem of the absolute wavenumber of the discrete sampling points in the spectrometer. In this paper, an absolute wavenumber calibration method based on the absolute phase of the characteristic spectral line and the constraint polynomial fitting phase under precise optical path difference was proposed. In the sample arm of the SD-OCT system, metal gauges with precise thickness difference are used to obtain the absolute phase value of the characteristic spectral line, and the phase wrapping times corresponding to the characteristic spectral line are further accurately solved. Thus, this method overcomes the 2π ambiguity of spectral phase in conventional interferometric phase methods. At the same time, combined with the polynomial fitting phase of the high signal-to-ratio region under window constraint, the accurate calibration of the absolute wavenumber of each sampling point is realized. Finally, comprehensive comparisons between the proposed method and the traditional resampling method in terms of discrete interface positioning, axial resolution and image reconstruction quality verifies the significant advantages of this method.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)