11 research outputs found
Objective comparison of particle tracking methods
Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers
Quantitative estimates of unique continuation for parabolic equations, determination of unknown time-varying boundaries and optimal stability estimates
In this paper we will review the main results concerning the issue of
stability for the determination unknown boundary portion of a thermic
conducting body from Cauchy data for parabolic equations. We give detailed and
selfcontained proofs. We prove that such problems are severely ill-posed in the
sense that under a priori regularity assumptions on the unknown boundaries, up
to any finite order of differentiability, the continuous dependence of unknown
boundary from the measured data is, at best, of logarithmic type
Optimal Design of the Time-Dependent Support of Bang–Bang Type Controls for the Approximate Controllability of the Heat Equation
A null controllability data assimilation methodology applied to a large scale ocean circulation model
Objective comparison of particle tracking methods.
Particle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy image data. Because manually detecting and following large numbers of individual particles is not feasible, automated computational methods have been developed for these tasks by many groups. Aiming to perform an objective comparison of methods, we gathered the community and organized an open competition in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios. Performance was assessed using commonly defined measures. Although no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to notable practical conclusions for users and developers
On the Fertilizer Three Element Treatments of Rice Crops Sampled for Leaf Analysis by Field
Rice crops field experiment grown on fertilizer three element treatments was carried out in 1952-54. at Fukigami, Takigun, Hyogo Pref. The effect of N element was most remarkable from 1st year in total yield, and that of P was not significant until 3rd year. K effect was not significant in 1st year, but gradually became significant since 2nd year. Details of growth and yield results are shown in the tables
Objective comparison of particle tracking methods
International audienceParticle tracking is of key importance for quantitative analysis of intracellular dynamic processes from time-lapse microscopy data. As detecting and following large numbers of individual particles by hand is not feasible, state-of-the-art computational methods for these tasks have been developed by many groups worldwide. Aspiring an objective comparison of methods, we gathered the community and organized, for the first time, an open competition, in which participating teams applied their own methods independently to a commonly defined data set including diverse scenarios, and performance was assessed using commonly defined measures. While no single method performed best across all scenarios, the results revealed clear differences between the various approaches, leading to important practical conclusions for users and developers