Evidence map›Paper›PMID 36698655›Full record

ArticleBiomedical optics express2023

Automated multi-target super-resolution microscopy with trust regions.

David J Schodt, Farzin Farzam, Sheng Liu, Keith A Lidke

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

David J SchodtDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico 87106, USA.
Farzin FarzamDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico 87106, USA.
Sheng LiuDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico 87106, USA.
Keith A LidkeDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico 87106, USA.
University of New Mexico · US

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI LIDKE, KEITH A · 2009 to 2018
$26.1M
Understanding how receptor tyrosine kinase activation dynamics specify proliferative cellular responsesR01CA248166 · NCI · YALE UNIVERSITY · PI LEMMON, MARK A, LIDKE, DIANE · 2020 to 2024
$2.6M
Adaptive Tracking and Quantum Imaging for Protein-Protein InteractionsR01GM140284 · NIGMS · UNIVERSITY OF NEW MEXICO · PI BECERRA CHAVEZ, FRANCISCO ELOHIM, LIDKE, KEITH A · 2022 to 2025
$1.8M
Measuring Protein-Protein Interactions using SPT-RESOLFTR21GM132716 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LIDKE, KEITH A · 2019 to 2020
$393k
Multi-target super-resolution imaging using sequential labelingR21EB019589 · NIBIB · UNIVERSITY OF NEW MEXICO · PI LIDKE, KEITH A · 2015 to 2016
$390k
NCI NIH HHS P30 CA118100NCI NIH HHS R01 CA248166NIBIB NIH HHS R21 EB019589NIGMS NIH HHS P50 GM085273NIGMS NIH HHS R01 GM140284NIGMS NIH HHS R21 GM132716
6 · The paper itself

Abstract

We describe a dedicated microscope for automated sequential localization microscopy which we term Sequential Super-resolution Microscope (SeqSRM). This microscope automates precise stage stabilization on the order of 5-10 nanometers and data acquisition of all user-selected cells on a coverslip, limiting user interaction to only cell selection and buffer exchanges during sequential relabeling. We additionally demonstrate that nanometer-scale changes to cell morphology affect the fidelity of the resulting multi-target super-resolution overlay reconstructions generated by sequential super-resolution microscopy, and that regions affected by these shifts can be reliably detected and masked out using brightfield images collected periodically throughout the experiment. The SeqSRM enables automated multi-target imaging on multiple user-selected cells without the need for multiple distinct fluorophores and emission channels, while ensuring that the resulting multi-target localization data accurately reflect the relative organization of the underlying targets.

Identifiers

PMID36698655
PMCPMC9841995
OpenAlexW4312124001

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.