Handling Artifacts in Dynamic Depth Sequences

Image sequences of dynamic scenes recorded using various depth imaging devices and handling the artifacts arising within are the main scope of this work. First, a framework for range flow estimation from Microsoft’s multi-modal imaging device Kinect is presented. All essential stages of the flow computation pipeline, starting from camera calibration, followed by the alignment of the range and color channels and finally the introduction of a novel multi-modal range flow algorithm which is robust against typical (technology dependent) range estimation artifacts are discussed. Second, regarding Time-of-Flight data, motion artifacts arise in recordings of dynamic scenes, caused by the sequential nature of the raw image acquisition process. While many methods for compensation of such errors have been proposed so far, there is still a lack of proper comparison. This gap is bridged here by not only evaluating all proposed methods, but also by providing additional insight in the technical properties and depth correction of the recorded data as base-line for future research. Exchanging the tap calibration model necessary for these methods by a model closer to reality improves the results of all related methods without any loss of performance

Исследование состава ароматических углеводородов средних фракций нефти Самотлорского месторождения

В работе представлены результаты исследования состава ароматических углеводородов 1-й группы, входящих в состав керосинонгазойлевой фракции (200-300° С) самотлорской нефти. Для исследования были применены методы жидкостной хроматографии, четкой ректификации, УФ- и ПК-спектроскопии. Установлено, что в состав ароматики 1-й группы входят моно-, ди- (-и -м-изомеры), три- (1, 2, 3- 1, 2, 4- и 1, 3, 5), тетра (возможно всех трех типов замещения, а также пентазамещенные бензола

Publisher Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types

In the version of this article initially published, author Thomas V. Wuttke’s affiliation was shown incorrectly. Dr. Wuttke is affiliated with University of Tübingen, Tübingen, Germany. The error has been corrected in the PDF and HTML versions of this article

Author Correction: A community-based transcriptomics classification and nomenclature of neocortical cell types

In the version of this article initially published, multiple errors appeared in the author and affiliations lists. The errors have been corrected in the PDF and HTML versions of this article

A community-based transcriptomics classification and nomenclature of neocortical cell types

To understand the function of cortical circuits it is necessary to classify their underlying cellular diversity. Traditional attempts based on comparing anatomical or physiological features of neurons and glia, while productive, have not resulted in a unified taxonomy of neural cell types. The recent development of single-cell transcriptomics has enabled, for the first time, systematic high-throughput profiling of large numbers of cortical cells and the generation of datasets that hold the promise of being complete, accurate and permanent. Statistical analyses of these data have revealed the existence of clear clusters, many of which correspond to cell types defined by traditional criteria, and which are conserved across cortical areas and species. To capitalize on these innovations and advance the field, we, the Copenhagen Convention Group, propose the community adopts a transcriptome-based taxonomy of the cell types in the adult mammalian neocortex. This core classification should be ontological, hierarchical and use a standardized nomenclature. It should be configured to flexibly incorporate new data from multiple approaches, developmental stages and a growing number of species, enabling improvement and revision of the classification. This community-based strategy could serve as a common foundation for future detailed analysis and reverse engineering of cortical circuits and serve as an example for cell type classification in other parts of the nervous system and other organs