Evidence map›Paper›PMID 38106190›Full record

ArticlebioRxiv : the preprint server for biology2023

Towards A Wireless Image Sensor for Real-Time Fluorescence Microscopy in Cancer Therapy.

Rozhan Rabbani, Hossein Najafiaghdam, Micah Roschelle, Efthymios Philip Papageorgiou, Biqi Rebekah Zhao, Mohammad Meraj Ghanbari, Rikky Muller, Vladimir Stojanovic, Mekhail Anwar

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

5 · Who and what money

Authors and funding

9 authors.

Rozhan RabbaniDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.ORCID 0000-0003-3268-9749
Hossein NajafiaghdamDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.ORCID 0000-0003-3140-0712
Micah RoschelleDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.ORCID 0000-0003-4696-1272
Efthymios Philip PapageorgiouDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.ORCID 0000-0001-7010-9579
Biqi Rebekah ZhaoDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.
Mohammad Meraj GhanbariDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.ORCID 0000-0002-0982-8934
Rikky MullerDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA; Chan Zuckerberg Biohub, San Francisco, CA 94158 USA.ORCID 0000-0003-3791-1847
Vladimir StojanovicDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA.ORCID 0000-0001-7233-6863
Mekhail AnwarDepartment of Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA 94720 USA; Department of Radiation Oncology, University of California, San Francisco, CA 94158 USA.ORCID 0000-0002-6650-2594

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

We present a mm-sized, ultrasonically powered lensless CMOS image sensor as a progress towards wireless fluorescence microscopy. Access to biological information within the tissue has the potential to provide insights guiding diagnosis and treatment across numerous medical conditions including cancer therapy. This information, in conjunction with current clinical imaging techniques that have limitations in obtaining images continuously and lack wireless compatibility, can improve continual detection of multicell clusters deep within tissue. The proposed platform incorporates a 2.4×4.7 mm

Indexed as

Biomedical implantscancer detectioncapacitive trans-impedance amplifier (CTIA)energy harvestingfluorescence imagingimage sensorpiezoceramicultrasound backscattering

Identifiers

PMID38106190
PMCPMC10723303

What OpenQuestion holds

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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.