Evidence map›Paper›PMID 34059715›Full record

ArticleScientific reports2021

Novel semi-automated fluorescence microscope imaging algorithm for monitoring IgG aggregates in serum.

Shravan Sreenivasan, Deepak Sonawat, Shyamapada Mandal, Kedar Khare, Anurag S Rathore

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

5 authors.

Shravan Sreenivasan *Department of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Deepak Sonawat *Department of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Shyamapada MandalDepartment of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Kedar KhareDepartment of Physics, Indian Institute of Technology Delhi, Hauz Khas, 110016, India.
Anurag S RathoreDepartment of Chemical Engineering, DBT Center of Excellence for Biopharmaceutical Technology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. asrathore@biotechcmz.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of therapeutic IgG aggregates in serum is a potential area of investigation as it can give deeper insights about the function, immunogenic issues and protein interaction associated with the aggregates. To overcome various complexities associated with the existing analytical techniques for analyzing aggregates in serum, a novel florescence microscopy-based image processing approach was developed. The monoclonal antibody (mAb) was tagged with a fluorescent dye, fluorescein isothiocyanate (FITC). Aggregates, generated by stirring, were spiked into serum and images were captured at various time points. After denoising, thresholding by weighted median, 1D Otsu, and 2D Otsu was attempted and a modified 2D Otsu, a new mode of thresholding, was developed. This thresholding method was found to be highly effective in removing noises and retaining analyte sizes. Out of 0-255, the optimized threshold value obtained for the images discussed in modified 2D Otsu was 9 while 2D Otsu's overestimated values were 38 and 48. Other morphological operations were applied after thresholding and the area, perimeter, circularity, and radii of the aggregates in these images were calculated. The proposed algorithm offers an approach for analysis of aggregates in serum that is simpler to implement and is complementary to existing approaches.

Indexed as

AlgorithmsAutomationHumansImage Processing, Computer-AssistedImmunoglobulin GMicroscopy, FluorescenceImmunoglobulin G

Identifiers

PMID34059715
PMCPMC8166854

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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.