Optical fluctuation microscopy based on calculating local entropy values

Rapid microscope auto-focus method for uneven surfaces based on image fusion

Microscopic imaging of uneven surfaces is difficult because of the limited depth of field. In this study, we developed a rapid auto-focus method for uneven surfaces based on image fusion. The Prewitt operator was used to detect the vertical edges of the images. Then, the focus position was theoretically calculated using a Gaussian function, and image fusion was applied to obtain the final in-focus image. An experiment was designed to verify the developed method. The results revealed that this method is effective for printed circuit boards.

Multi-Scale Low-Entropy Method for Optimizing the Processing Parameters during Automated Fiber Placement

Automated fiber placement (AFP) process includes a variety of energy forms and multi-scale effects. This contribution proposes a novel multi-scale low-entropy method aiming at optimizing processing parameters in an AFP process, where multi-scale effect, energy consumption, energy utilization efficiency and mechanical properties of micro-system could be taken into account synthetically. Taking a carbon fiber/epoxy prepreg as an example, mechanical properties of macro–meso–scale are obtained by Finite Element Method (FEM). A multi-scale energy transfer model is then established to input the macroscopic results into the microscopic system as its boundary condition, which can communicate with different scales. Furthermore, microscopic characteristics, mainly micro-scale adsorption energy, diffusion coefficient entropy–enthalpy values, are calculated under different processing parameters based on molecular dynamics method. Low-entropy region is then obtained in terms of the interrelation among entropy–enthalpy values, microscopic mechanical properties (interface adsorbability and matrix fluidity) and processing parameters to guarantee better fluidity, stronger adsorption, lower energy consumption and higher energy quality collaboratively. Finally, nine groups of experiments are carried out to verify the validity of the simulation results. The results show that the low-entropy optimization method can reduce void content effectively, and further improve the mechanical properties of laminates.

Single-molecule quantification of lipotoxic expression of activating transcription factor 3

Activating transcription factor 3 (ATF3) is a member of the mammalian activation transcription factor/cAMP, physiologically important in the regulation of pro- and anti-inflammatory target genes. We compared the induction of ATF3 protein as measured by Western blot analysis with single-molecule localization microscopy dSTORM to quantify the dynamics of accumulation of intranuclear ATF3 of triglyceride-rich (TGRL) lipolysis product-treated HAEC (Human Aortic Endothelial Cells). The ATF3 expression rate within the first three hours after treatment with TGRL lipolysis products is about 3500 h(-1). After three hours we detected 33,090 ± 3491 single-molecule localizations of ATF3. This was accompanied by significant structural changes in the F-actin network of the cells at ∼3-fold increased localization precision compared to widefield microscopy after treatment. Additionally, we discovered a cluster size of approximately 384 nanometers of ATF3 molecules. We show for the first time the time course of ATF3 accumulation in the nucleus undergoing lipotoxic injury. Furthermore, we demonstrate ATF3 accumulation associated with increased concentrations of TGRL lipolysis products occurs in large aggregates.

Imaging fenestrations in liver sinusoidal endothelial cells by optical localization microscopy

We demonstrate the use of single molecule localization microscopy for resolving structural details of fenestrations in liver sinusoidal endothelial cells.