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Light microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM), that uses popLight microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM), that uses pop

Drones have been used by the military since mid-1970 but the development of autonomous systems from the turn of the millennium and onward has opened the area of UAV to civil service and the public immensely. Today UAV technology saves lives in Search And Rescue operations, complements and supports full scale vehicles at the Police force and assists in surveys and documentation of ground and forest

Brain activation mapping using fMRI data has been mostly focused on finding detections in gray matter. Activations in white matter are harder to detect due to anatomical differences between both tissue types, which are rarely acknowledged in experimental design. However, recent publications have started to show evidence for the possibility of detecting meaningful activations in white matter. The s

Presently the telecom industry is going through a massive shift in technology. In the business to business environment regarding delivery and service of fixed telephony, the traditional circuit-switched PBX (private branch exchange) technology is successively replaced by a new Ip-based (Internet protocol) PBX technology. The new way of switching voice-calls doesn't demand a separate infrastruc

Ett första steg i arbetet att uppskatta kolflödet mellan landbaserade ekosystem och atmosfären är att så precist som möjligt analysera kvantiteten ovanjordisk biomassa. LiDAR teknologi har i detta avseende visat sig vara ett värdefullt verktyg. Det överlöpande målet med denna studie är att utveckla en förenklad metod, baserad på fjärranalys, för att uppskatta ovanjordisk biomassa för individuella As a first step in the assessment of carbon flux between the terrestrial environment and the atmosphere it is important to accurately quantify the carbon stock of forest ecosystems. LiDAR technology, in this respect, has proved to be a valuable tool, able to provide accurate estimates of aboveground biomass (AGB). The overall goal of this study was to develop a simplified method for assessing AGB

We evaluate the efficiency of the maximum likelihood estimator introduced by Aki (1965), using synthetic datasets exhibiting diverse but well defined properties. The deviation of the b-value estimation from its real value is quantified by Monte Carlo simulations as a function of catalogue features and data properties such as the sample size, the magnitude uncertainties distribution, the round-off

Objective: The aims of this study are to validate infant vaccination data in the Swedish Vaccination Register (SVR) to the Swedish administrative coverage reports, and to assess differences in register-based vaccination coverage estimates between providers using different data reporting methods. Methods: The study population included all infants born in Sweden with a Swedish Personal Identity Numb

The resonance lines of helium in the Sun are several times stronger than expected, relative to lines of other ions. To explore the origins of this "helium enhancement,'' we have studied data from the SUMER, CDS, MDI, and EIT instruments on the Solar and Heliospheric Observatory (SOHO). Time series data obtained in a quiet region and a coronal hole indicate that the spatio-temporal properties of th

Mood is a pervasive affective state that influences cognition, including language processing, where it functions as part of the pragmatic context. When linguistic expressions carry emotional valence, mood may amplify or attenuate their perceived emotional nature. Motivated by inconsistent findings on the timing and nature of mood and valence interactions, we conducted an EEG study to investigate w

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It is important to obtain accurate three dimensional structures of molecules and proteins to understand and predict their function and behaviour. X-ray crystallography is the major technique to determine three dimensional structures of proteins. Although there have been major improvements on the experimental side in determining crystallographic data, only small progress has been made on the comput

This paper describes a structural reliability analysis utilizing monitoring data in the ultimate limit state with consideration of the uncertainties of the monitoring procedure. For this purpose the uncertainties of the monitoring data are modeled utilizing a new framework for the determination of measurement uncertainties. The approach is based on a process equation and statistical models of obse

Introduction: Despite a positive long-term trend in fire mortality rates, more knowledge is required concerning the causes and typologies of fatal residential fires in order to improve preventative efforts and further decrease fatality rates. A previous study suggested that fatal residential fires can be grouped into six categories, however, the analyses were performed on a limited dataset that is

Purpose: The purpose of this meta-analysis is to study the impact of varicocele repair in the largest cohort of infertile males with clinical varicocele by including all available studies, with no language restrictions, comparing intra-person conventional semen parameters before and after the repair of varicoceles. Materials and Methods: The meta-analysis was performed according to PRISMA-P and MO

Brain activation mapping using functional magnetic resonance imaging (fMRI) has been extensively studied in brain gray matter (GM), whereas in large disregarded for probing white matter (WM). This unbalanced treatment has been in part due to controversies in relation to the nature of the blood oxygenation level-dependent (BOLD) contrast in WM and its detectability. However, an accumulating body of

Satellite data is useful for making inference on large areas, but there are plenty of problems associated with the technology. The observation errors need to be carefully modelled in order to make inference from the data. In addition, the large data-sets involved makes straight-forward computations infeasible. This thesis explores a non-Gaussian noise structure, and implements a modified EM algorit