A new spin on spinning your samples: balancing rotors in a non-trivial manner

TL;DR

This paper introduces novel algorithms for balancing centrifuge rotors by combining symmetry group theory and genetic algorithms, improving efficiency in laboratory sample preparation.

Contribution

It presents a new approach that integrates symmetry group theory with genetic algorithms to optimize rotor balancing procedures.

Findings

Identifies non-trivial algorithms for rotor balancing

Demonstrates effectiveness of combined symmetry and genetic methods

Improves efficiency of centrifuge sample preparation

Abstract

Due to a lack of coherent analysis, many common practices of humankind preserve low-efficient procedures. Balancing tubes during centrifugation exemplifies such a problem in laboratory practice. Using combination of symmetry group theory and genetic algorithm methodology we demonstrate that there is an array of surprisingly non-trivial algorithms for going about this procedure.