Evidence map›Paper›PMID 29642023›Full record

ArticleBiophysical journal2018

PAM: A Framework for Integrated Analysis of Imaging, Single-Molecule, and Ensemble Fluorescence Data.

Waldemar Schrimpf, Anders Barth, Jelle Hendrix, Don C Lamb

Abstract read
In one paragraph

Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

101 citing papers in PubMed.

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  7. mtHsp70 chaperone converts mitochondrial proteostasis stress into impaired protein import.Proceedings of the National Academy of Sciences of the United States of America · 2026
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41 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Waldemar SchrimpfDepartment of Physical Chemistry, Center for Integrated Protein Science Munich (CIPSM), Nanosystems Initiative Munich (NIM) and Center for Nanoscience (CeNS), Ludwig-Maximilians-Universität, Munich, Germany.
Anders BarthDepartment of Physical Chemistry, Center for Integrated Protein Science Munich (CIPSM), Nanosystems Initiative Munich (NIM) and Center for Nanoscience (CeNS), Ludwig-Maximilians-Universität, Munich, Germany.
Jelle HendrixDynamic Bioimaging Lab, Biomedical Research Institute (BIOMED), Advanced Optical Microscopy Centre, Faculty of Medicine and Life Sciences, Hasselt University, Diepenbeek, Belgium; Laboratory for Photochemistry and Spectroscopy, Molecular Imaging and Photonics Division, KU Leuven, Heverlee, Belgium.
Don C LambDepartment of Physical Chemistry, Center for Integrated Protein Science Munich (CIPSM), Nanosystems Initiative Munich (NIM) and Center for Nanoscience (CeNS), Ludwig-Maximilians-Universität, Munich, Germany. Electronic address: d.lamb@lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence microscopy and spectroscopy data hold a wealth of information on the investigated molecules, structures, or organisms. Nowadays, the same fluorescence data set can be analyzed in many ways to extract different properties of the measured sample. Yet, doing so remains slow and cumbersome, often requiring incompatible software packages. Here, we present PAM (pulsed interleaved excitation analysis with MATLAB), an open-source software package written in MATLAB that offers a simple and efficient workflow through its graphical user interface. PAM is a framework for integrated and robust analysis of fluorescence ensemble, single-molecule, and imaging data. Although it was originally developed for the analysis of pulsed interleaved excitation experiments, PAM has since been extended to support most types of data collection modalities. It combines a multitude of powerful analysis algorithms, ranging from time- and space-correlation analysis, over single-molecule burst analysis, to lifetime imaging microscopy, while offering intrinsic support for multicolor experiments. We illustrate the key concepts and workflow of the software by discussing data handling and sorting and provide step-by-step descriptions for the individual usage cases.

Indexed as

Data AnalysisMicroscopy, FluorescenceSingle Molecule ImagingSoftwareSpectrometry, Fluorescence

Identifiers

PMID29642023
PMCPMC5954487

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.