Literature DB >> 35992769

A user-friendly tool to convert photon counting data to the open-source Photon-HDF5 file format.

Donald Ferschweiler1,2, Maya Segal3, Shimon Weiss3, Xavier Michalet3.   

Abstract

Photon-HDF5 is an open-source and open file format for storing photon-counting data from single molecule microscopy experiments, introduced to simplify data exchange and increase the reproducibility of data analysis. Part of the Photon-HDF5 ecosystem, is phconvert, an extensible python library that allows converting proprietary formats into Photon-HDF5 files. However, its use requires some proficiency with command line instructions, the python programming language, and the YAML markup format. This creates a significant barrier for potential users without that expertise, but who want to benefit from the advantages of releasing their files in an open format. In this work, we present a GUI that lowers this barrier, thus simplifying the use of Photon-HDF5. This tool uses the phconvert python library to convert data files originally saved in proprietary data formats to Photon-HDF5 files, without users having to write a single line of code. Because reproducible analyses depend on essential experimental information, such as laser power or sample description, the GUI also includes (currently limited) functionality to associate valid metadata with the converted file, without having to write any YAML. Finally, the GUI includes several productivity-enhancing features such as whole-directory batch conversion and the ability to re-run a failed batch, only converting the files that could not be converted in the previous run.

Entities:  

Keywords:  GUI; Photon-HDF5; Python; fluorescence; open-source; phconvert; photon-counting; single-molecule

Year:  2022        PMID: 35992769      PMCID: PMC9385162          DOI: 10.1117/12.2608487

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  4 in total

1.  Photon-HDF5: An Open File Format for Timestamp-Based Single-Molecule Fluorescence Experiments.

Authors:  Antonino Ingargiola; Ted Laurence; Robert Boutelle; Shimon Weiss; Xavier Michalet
Journal:  Biophys J       Date:  2016-01-05       Impact factor: 4.033

Review 2.  FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.

Authors:  Eitan Lerner; Anders Barth; Jelle Hendrix; Benjamin Ambrose; Victoria Birkedal; Scott C Blanchard; Richard Börner; Hoi Sung Chung; Thorben Cordes; Timothy D Craggs; Ashok A Deniz; Jiajie Diao; Jingyi Fei; Ruben L Gonzalez; Irina V Gopich; Taekjip Ha; Christian A Hanke; Gilad Haran; Nikos S Hatzakis; Sungchul Hohng; Seok-Cheol Hong; Thorsten Hugel; Antonino Ingargiola; Chirlmin Joo; Achillefs N Kapanidis; Harold D Kim; Ted Laurence; Nam Ki Lee; Tae-Hee Lee; Edward A Lemke; Emmanuel Margeat; Jens Michaelis; Xavier Michalet; Sua Myong; Daniel Nettels; Thomas-Otavio Peulen; Evelyn Ploetz; Yair Razvag; Nicole C Robb; Benjamin Schuler; Hamid Soleimaninejad; Chun Tang; Reza Vafabakhsh; Don C Lamb; Claus Am Seidel; Shimon Weiss
Journal:  Elife       Date:  2021-03-29       Impact factor: 8.140

3.  FRETBursts: An Open Source Toolkit for Analysis of Freely-Diffusing Single-Molecule FRET.

Authors:  Antonino Ingargiola; Eitan Lerner; SangYoon Chung; Shimon Weiss; Xavier Michalet
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

4.  Multispot single-molecule FRET: High-throughput analysis of freely diffusing molecules.

Authors:  Antonino Ingargiola; Eitan Lerner; SangYoon Chung; Francesco Panzeri; Angelo Gulinatti; Ivan Rech; Massimo Ghioni; Shimon Weiss; Xavier Michalet
Journal:  PLoS One       Date:  2017-04-18       Impact factor: 3.240

  4 in total

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