Evidence map›Paper›PMID 42629355›Full record

ArticleLight, science & applications2026

A single-chip, dual-gain color-NIR camera for fluorescence-guided lung and breast cancer surgery.

Zhongmin Zhu, Brianna Hajek, Yifei Jin, Sinisha Stojanovski, Anamarija Jankulovska, Darko Angjushev, Igor Djikovski, Nexhati Jakupi, Risto Colanceski, Imran Ferati and 10 more

Abstract read
In one paragraph

Article in Light, science & applications, 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

20 authors.

Zhongmin ZhuDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0003-0158-7168
Brianna HajekDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL, 61801, USA.
Yifei JinDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL, 61801, USA.
Sinisha StojanovskiInstitute of Pathophysiology and Nuclear Medicine, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Anamarija JankulovskaInstitute of Pathophysiology and Nuclear Medicine, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Darko AngjushevDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Igor DjikovskiDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Nexhati JakupiDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Risto ColanceskiDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Imran FeratiDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Borce AntevskiDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Ilir VelaDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Despot DespotovskiDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Natasha Tolevska DimitrovskaDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Magdalena Bogdanovska TodorovskaInstitute of Pathology, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Goran KondovDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Borislav KondovDepartment of Thoracic and Vascular Surgery, Ss. Cyril and Methodius University in Skopje, Skopje, 1000, North Macedonia.
Shuming NieDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-7328-1144
Sunil SinghalDepartment of Thoracic Surgery, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Viktor GruevDepartment of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL, 61801, USA. vgruev@illinois.edu.ORCID http://orcid.org/0000-0003-1280-7971

Funding

Shared Resource - Core A: Administrative CoreP01CA254859 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Sunil Singhal · 2022 to 2026
$10.0M
National Science Foundation (NSF) 2344460NCI NIH HHS P01 CA254859United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-24-1-0112U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) 1P01CA254859
6 · The paper itself

Abstract

Near infrared (NIR) fluorescence guided surgery can highlight tumors and sentinel lymph nodes, but most clinical fluorescence imaging systems use multi-camera architectures in which residual color-NIR misregistration can mislocalize fluorescence relative to anatomy, and weak signals often require dimming operating room lights. We developed a single-chip dual-gain scientific CMOS (sCMOS) sensor with red, green, blue (RGB), and NIR channels that provides intrinsically coregistered color reflectance and NIR fluorescence under typical operating room illumination (50-80 kLux). A backside illuminated array with division of focal plane (DoFP) pixelated interference filters achieves an input-referred read noise of 2.25 electrons and a fused dynamic range >90 dB, enabling indocyanine green (ICG) detection at ~100 pM under dark-background conditions and ~500 pM under standard 50-80 kLux operating-room illumination, with quantification over four orders of magnitude. We integrated the sensor into a surgical camera and evaluated it in 20 patients with lung cancer receiving the cathepsin-activated ICG probe VGT-309 and 35 patients with breast cancer undergoing ICG-guided sentinel lymph node biopsy. In lung cancer, lesion level sensitivity was 0.90 (18/20) and positive predictive value was 0.78 (18/23), with at least one clinically significant event in 45% (9/20) of patients. In breast cancer (90 specimens), high-gain NIR imaging improved classification of gamma probe-designated sentinel lymph nodes by node-to-background ratio (ROC AUC 0.94 vs 0.60) while preserving a white light view. These results establish a single-chip route to lights-on color and NIR guidance in the operating room.

Identifiers

PMID42629355
PMCPMC13498610

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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.