for the China Gastric Cancer Study Group T HE ASSOCIATION BETWEEN chronic Helicobacter pylori infection and development of gastric cancer is well established. [1][2][3][4] The International Agency for Research on Cancer has categorized H pylori as a group I carcinogen. 5 In Correa's model of gastric carcinogenesis, the gastric mucosa progresses through the stages of chronic active gastritis, glandular atrophy, intestinal metaplasia, and dysplasia before the development of gastric adenocarcinoma. 6-10 Two recent large-scale, prospective studies, 11,12 both in high-risk populations, have re-ported H pylori infection as a definite risk factor for the development of gastric cancer. In the first study, presence of H pylori at baseline was associated with an increased risk of progression to dyspla-Author Affiliations and Members of the China Gastric Cancer Study Group are listed at the end of this article.

DNA points accumulation for imaging in nanoscale topography (DNA-PAINT) facilitates multiplexing in superresolution microscopy but is practically limited by slow imaging speed. To address this issue, we propose the additions of ethylene carbonate (EC) to the imaging buffer, sequence repeats to the docking strand, and a spacer between the docking strand and the affinity agent. Collectively termed DNA-PAINT-ERS (E = EC, R = Repeating sequence, and S = Spacer), these strategies can be easily integrated into current DNA-PAINT workflows for both accelerated imaging speed and improved image quality through optimized DNA hybridization kinetics and efficiency. We demonstrate the general applicability of DNA-PAINT-ERS for fast, multiplexed superresolution imaging using previously validated oligonucleotide constructs with slight modifications.

Neural circuits are fundamental for brain functions. However, obtaining long range continuous projections of neurons in the entire brain is still challenging. Here a two-photon fluorescence micro-optical sectioning tomography (2p-fMOST) method is developed for high-throughput, high-resolution visualization of the brain circuits. Two-photon imaging technology is used to obtain high resolution, and acoustical optical deflector (AOD), an inertia-free beam scanner is used to realize fast and prolonged stable imaging. The combination of these techniques with imaging and then sectioning method of a plastic-embedded mouse brain facilitated the acquisition of a three-dimensional data set of a fluorescent mouse brain with a resolution adequate to resolve the spines. In addition, the brain circuit tracing ability is showed by several neurons projecting across different brain regions. Besides brain imaging, 2p-fMOST could be used in many studies that requires sub-micro resolution or micro resolution imaging of a large sample.

Drawing the map of neuronal circuits at microscopic resolution is important to explain how brain works. Recent progresses in fluorescence labeling and imaging techniques have enabled measuring the whole brain of a rodent like a mouse at submicron-resolution. Considering the huge volume of such datasets, automatic tracing and reconstruct the neuronal connections from the image stacks is essential to form the large scale circuits. However, the first step among which, automated location the soma across different brain areas remains a challenge. Here, we addressed this problem by introducing L1 minimization model. We developed a fully automated system, NeuronGlobalPositionSystem (NeuroGPS) that is robust to the broad diversity of shape, size and density of the neurons in a mouse brain. This method allows locating the neurons across different brain areas without human intervention. We believe this method would facilitate the analysis of the neuronal circuits for brain function and disease studies.