pyIMD: Automated analysis of inertial mass measurements of single cells | Zendy

Andreas P. Cuny | Zendy; David MartinezMartin | Zendy; Gotthold Fläschner | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

pyIMD: Automated analysis of inertial mass measurements of single cells

Author(s) -

Andreas P. Cuny,

David MartinezMartin,

Gotthold Fläschner

Publication year - 2019

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2019.100303

Subject(s) - python (programming language) , computer science , software , graphical user interface , raw data , computation , interface (matter) , computational science , software package , term (time) , data mining , real time computing , programming language , operating system , physics , bubble , quantum mechanics , maximum bubble pressure method

The total mass of single cells can be accurately monitored in real time under physiological conditions with our recently developed picobalance. It is a powerful tool to investigate crucial processes in biophysics, cell biology or medicine, such as cell growth or hydration dynamics. However, processing of the raw data can be challenging, as computation is needed to extract the mass and long-term measurements can generate large amounts of data. Here, we introduce the software package pyIMD that automates raw data processing, particularly when investigating non-migrating cells. pyIMD is implemented in Python and can be used as a command line tool or as a stand-alone version including a graphical user interface.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research