# Optimal Observation Time Points in Stochastic Chemical Kinetics

Source: [Optimal Observation Time Points in Stochastic Chemical Kinetics](<https://www.sota2.com/research/paper/68fa5eb71e209131ce9e4a9b>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T18:56:48.847Z

Authors: Charalampos Kyriakopoulos, Verena Wolf

Published: 2014-12-17T15:26:40.000Z

## Abstract

Wet-lab experiments, in which the dynamics within living cells are observed, are usually costly and time consuming. This is particularly true if single-cell measurements are obtained using experimental techniques such as flow-cytometry or fluorescence microscopy. It is therefore important to optimize experiments with respect to the information they provide about the system. In this paper we make a priori predictions of the amount of information that can be obtained from measurements. We focus on the case where the measurements are made to estimate parameters of a stochastic model of the underlying biochemical reactions. We propose a numerical scheme to approximate the Fisher information of future experiments at different observation time points and determine optimal observation time points. To illustrate the usefulness of our approach, we apply our method to two interesting case studies.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1412.5439>)

[PDF](<https://arxiv.org/pdf/1412.5439.pdf>)
