Evidence map›Paper›PMID 33651123›Full record

ArticleEuropean biophysics journal : EBJ2021

Standard protocol for mass photometry experiments.

Di Wu, Grzegorz Piszczek

Open access · greenAbstract read
In one paragraph

Article in European biophysics journal : EBJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
7.9field-weighted citation impact, top 1% of its field
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

68 citing papers in PubMed, 109 citations in OpenAlex.

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  18. Evolution of a fuzzy ribonucleoprotein complex in viral assembly.bioRxiv : the preprint server for biology · 2025
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8 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

2 authors at 1 institution in 1 country.

Di WuBiophysics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.ORCID https://orcid.org/0000-0002-3440-1860
Grzegorz PiszczekBiophysics Core Facility, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA. grzegorz_piszczek@nih.gov.ORCID http://orcid.org/0000-0002-5270-3678
National Institutes of Health · US

Funding

Biophysics FacilityZICHL000338 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI PISZCZEK, GRZEGORZ · 2009 to 2025
$12.2M
Intramural NIH HHS ZIC HL000338
6 · The paper itself

Abstract

Mass photometry (MP) is a relatively new experimental technique with a quickly expanding list of applications. Using optical detection, MP measures the mass of individual molecules to obtain molecular mass distributions of proteins and other biomolecules in solution. The combination of speed, sensitivity, and very low sample consumption with label- and immobilization-free detection sets MP apart from other analytical methods. An increasing number of laboratories incorporates mass photometry as a routine sample analysis technique. However, MP measurements can sometimes be challenging, especially for users without previous experience with single-molecule techniques. Here, we present a protocol for the determination of protein molecular mass distributions by MP. It describes the sample and materials preparation as well as data collection and analysis. The advantages and limitations of this technique and the potential sources of artifacts are also given. This protocol can be used by new MP users and serve as a checklist for laboratories routinely performing MP experiments to guide consistent data collection and documentation.

Indexed as

PhotometryNanotechnologyProteinsProteinsLabel-freeMass distributionMass photometryProtein characterizationSingle-molecule

Identifiers

PMID33651123
PMCPMC8344692
OpenAlexW3134610998

What OpenQuestion holds

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Read underepoch 390

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.