Evidence map›Paper›PMID 38495694›Full record

ArticleBiomedical optics express2024

Multicolor fluorescence microscopy for surgical guidance using a chip-scale imager with a low-NA fiber optic plate and a multi-bandpass interference filter.

Micah Roschelle, Rozhan Rabbani, Efthymios Papageorgiou, Hui Zhang, Matthew Cooperberg, Bradley A Stohr, Ali Niknejad, Mekhail Anwar

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Micah RoschelleDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.ORCID https://orcid.org/0000-0003-4696-1272
Rozhan RabbaniDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.
Efthymios PapageorgiouDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.
Hui ZhangDepartment of Radiation Oncology, University of California, San Francisco, California 94158, USA.
Matthew CooperbergDepartment of Urology, University of California, San Francisco, California 94158, USA.
Bradley A StohrDepartment of Pathology, University of California, San Francisco, California 94158, USA.
Ali NiknejadDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.
Mekhail AnwarDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA.
University of California, San Francisco · USUniversity of California, Berkeley · USRoss School · US

Funding

Implantable Nanophotonic Sensors for in Vivo ImmunoresponseDP2DE030713 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANWAR, MEKHAIL · 2020 to 2020
$2.4M
NIDCR NIH HHS DP2 DE030713
6 · The paper itself

Abstract

In curative-intent cancer surgery, intraoperative fluorescence imaging of both diseased and healthy tissue can help to ensure the successful removal of all gross and microscopic diseases with minimal damage to neighboring critical structures, such as nerves. Current fluorescence-guided surgery (FGS) systems, however, rely on bulky and rigid optics that incur performance-limiting trade-offs between sensitivity and maneuverability. Moreover, many FGS systems are incapable of multiplexed imaging. As a result, clinical FGS is currently limited to millimeter-scale detection of a single fluorescent target. Here, we present a scalable, lens-less fluorescence imaging chip, VISION, capable of sensitive and multiplexed detection within a compact form factor. Central to VISION is a novel optical frontend design combining a low-numerical-aperture fiber optic plate (LNA-FOP) and a multi-bandpass interference filter, which is affixed to a custom CMOS image sensor. The LNA-FOP acts as a planar collimator to improve resolution and compensate for the angle-sensitivity of the interference filter, enabling high-resolution and multiplexed fluorescence imaging without lenses. We show VISION is capable of detecting tumor foci of less than 100 cells at near video framerates and, as proof of principle, can simultaneously visualize both tumors and nerves in

Identifiers

PMID38495694
PMCPMC10942699
OpenAlexW4391574566

What OpenQuestion holds

Textmetadata
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.