Evidence map›Paper›PMID 41243619›Full record

ArticleBiotechnology progress

Image analysis method for measurement and prediction of intra-matrix IgG diffusion.

Riya Debbarma, Antonio C F Dos Santos, Michael Ladisch

Abstract read
In one paragraph

Article in Biotechnology progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Riya DebbarmaLaboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana, USA.
Antonio C F Dos SantosEngineering Department, Morissey College of Arts and Sciences, Boston College, Chestnut Hill, Massachusetts, USA.
Michael LadischLaboratory of Renewable Resources Engineering, Purdue University, West Lafayette, Indiana, USA.

Funding

Department of Agricultural and Biological Engineering, Purdue UniversityLaboratory of Renewable Resources Engineering, Purdue UniversityUSDA Hatch IN90027984
6 · The paper itself

Abstract

Measurement and imaging of intra-matrix protein therapeutics diffusion is important due to the emergence of injectable biologics currently in various stages of research and clinical testing. These therapeutics are developed for delivery to hyaluronic acid (HA)-rich anatomical sites such as subcutaneous tissue, the vitreous humor, and knee joints, depending on the target tissue. Understanding their diffusion behavior is essential for optimizing drug delivery strategies. Our work presents an image analysis method suited for tracking IgG diffusion in low viscosity HA matrices representative of the vitreous humor, where diffusion occurs more rapidly unlike a previously reported analysis method for higher viscosity matrices where protein diffusion is significantly slower. The current method utilizes scanner images at 6.3 MP resolution, and an algorithm that removes background and calculates protein mass and concentration measured directly within matrices formulated to represent HA in an intravitreal environment. We report and demonstrate a robust method for predicting protein diffusion coefficient from images of label-free protein diffusing in a low viscosity HA matrix.

Indexed as

Image Processing, Computer-AssistedImmunoglobulin GAlgorithmsAnimalsDiffusionHumansHyaluronic AcidViscosityVitreous BodyHyaluronic AcidImmunoglobulin Gdiffusionhyaluronic acid (HA) matriximage analysis

Identifiers

PMID41243619
PMCPMC13266960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.