Results 71 to 80 of about 82,300 (309)
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
FEBS Open Bio, EarlyView.We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Stochastic dispersive PDEs with additive space-time white noise [PDF]
, 2019 In this thesis, we will discuss the Cauchy problem for some nonlinear dispersive PDEs with additive space-time white noise forcing. We will focus on two different models: the stochastic nonlinear beam equation (SNLB) with power nonlinearity posed on ...
Tolomeo, Leonardo
core
ANAPT: Additive Noise Analysis for Persistence Thresholding
, 2022 We introduce a novel method for Additive Noise Analysis for Persistence Thresholding (ANAPT) which separates significant features in the sublevel set persistence diagram of a time series based on a statistics analysis of the persistence of a noise ...
Khasawneh, Firas A. +2 more
core +1 more source
Nonlinear stochastic heat equations with cubic nonlinearities and additive Q-regular noise in R^1
Electronic Journal of Differential Equations, 2010 Semilinear stochastic heat equations perturbed by cubic-type nonlinearities and additive space-time noise with homogeneous boundary conditions are discussed in R^1.
Henri Schurz
doaj
Competitive Prediction Under Additive Noise
IEEE Transactions on Signal Processing, 2009 In this correspondence, we consider sequential prediction of a real-valued individual signal from its past noisy samples, under square error loss. We refrain from making any stochastic assumptions on the generation of the underlying desired signal and try to achieve uniformly good performance for any deterministic and arbitrary individual signal.
Suleyman Serdar Kozat, Andrew C. Singer
openaire +2 more sources
Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens
FEBS Open Bio, EarlyView.Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee +3 more
wiley +1 more source
Noise Enhancement for Weighted Sum of Type I and II Error Probabilities with Constraints
Entropy, 2017 In this paper, the noise-enhanced detection problem is investigated for the binary hypothesis-testing. The optimal additive noise is determined according to a criterion proposed by DeGroot and Schervish (2011), which aims to minimize the weighted sum of ...
Shujun Liu, Ting Yang, Kui Zhang
doaj +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Information and Telecommunication Sciences, 2016 Background. Application of deterministic chaos oscillators in telecommunication systems requires knowledge about their dynamical properties. Mathematical models and phase portraits of such generators are well known.
Andriy Semenov
doaj +1 more source