Evidence map›Paper›PMID 41940259›Full record

ArticleAPL bioengineering2026

Selective capture and digital counting of intact HIV pseudovirus using designer DNA nets, tethered motion, and photonic resonator interferometric scattering microscopy.

Joseph Tibbs, Saurabh Umrao, Tingjie Song, Varada Anirudhan, Skye Shepherd, Katy Wolhaupter, Mengxi Zheng, Sydney Wiggins, Lijun Rong, Colin L Hisey and 3 more

Abstract read
In one paragraph

Article in APL bioengineering, 2026. 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

13 authors.

Varada AnirudhanDepartment of Microbiology and Immunology, University of Illinois Chicago, Chicago, Illinois 60612, USA.ORCID https://orcid.org/0000-0002-5370-1092
Skye ShepherdDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA.ORCID https://orcid.org/0000-0002-5684-7126
Katy WolhaupterDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA.ORCID https://orcid.org/0009-0001-0437-5606
Sydney WigginsDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, USA.ORCID https://orcid.org/0009-0007-6039-8291
Lijun RongDepartment of Microbiology and Immunology, University of Illinois Chicago, Chicago, Illinois 60612, USA.ORCID https://orcid.org/0000-0003-3938-0445
Colin L HiseyDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, USA.ORCID https://orcid.org/0000-0001-8732-3600
Utkan DemirciBio-Acoustic MEMS in Medicine (BAMM) Lab, Canary Center at Stanford for Cancer Early Detection, Stanford School of Medicine, Stanford University, Palo Alto, California 94304, USA.ORCID https://orcid.org/0000-0003-2784-1590

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and quantitatively accurate detection of HIV (human immunodeficiency virus) viral load using a simple workflow, automated instrumentation, and real-time data processing with easily interpretable output is required for an approach to become practical for point-of-care environments. We recently demonstrated a form of interferometric scattering microscopy called Photonic Resonator Interferometric Scattering Microscopy (PRISM) that amplifies the contrast of surface-attached nano-objects via a photonic crystal (PC) surface. Recently, our team also developed net-shaped DNA nanostructures called "Designer DNA Nets" (DDN) that organize multivalent aptamer arrays to precisely match the pattern of proteins on the outer surface of intact virions to provide high-affinity and selective binding. In this work, we demonstrate the combination of DDNs and PRISM for detection of HIV by digital counting of captured viruses. We compare multivalent DDN-based viral capture to monomeric aptamer and nanobody capture, in which the captured virions are tethered to the PC surface by a DNA linker. We observe that tethered virions are not fully stationary and that their localized dynamic movement provides a route for label-free digital-resolution detection with a signal-to-noise ratio of 50, while disregarding the presence of image features not related to specific virus capture. We obtain a detection limit of 10

Identifiers

PMID41940259
PMCPMC13046394

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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.