Evidence map›Paper›PMID 26343283›Full record

ArticleMicroscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada2015

Robot-Guided Atomic Force Microscopy for Mechano-Visual Phenotyping of Cancer Specimens.

Wenjin Chen, Zachary Brandes, Rajarshi Roy, Marina Chekmareva, Hardik J Pandya, Jaydev P Desai, David J Foran

Open access · greenAbstract read
In one paragraph

Article in Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 33% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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

7 authors at 3 institutions in 1 country.

Wenjin Chen1Center for Biomedical Imaging & Informatics,Rutgers Cancer Institute of New Jersey,Rutgers,The State University of New Jersey,195 Little Albany Street,New Brunswick,NJ 08901,USA.
Zachary Brandes3Department of Mechanical Engineering,Maryland Robotics Center,Institute for Systems Research,University of Maryland,Glenn L. Martin Hall,College Park,MD 20742,USA.
Rajarshi Roy4Department of Mechanical Engineering,Vanderbilt University,Room 409,2400 Highland Avenue,Nashville,TN 37205,USA.
Marina Chekmareva1Center for Biomedical Imaging & Informatics,Rutgers Cancer Institute of New Jersey,Rutgers,The State University of New Jersey,195 Little Albany Street,New Brunswick,NJ 08901,USA.
Hardik J Pandya3Department of Mechanical Engineering,Maryland Robotics Center,Institute for Systems Research,University of Maryland,Glenn L. Martin Hall,College Park,MD 20742,USA.
Jaydev P Desai3Department of Mechanical Engineering,Maryland Robotics Center,Institute for Systems Research,University of Maryland,Glenn L. Martin Hall,College Park,MD 20742,USA.
David J Foran1Center for Biomedical Imaging & Informatics,Rutgers Cancer Institute of New Jersey,Rutgers,The State University of New Jersey,195 Little Albany Street,New Brunswick,NJ 08901,USA.
Rutgers, The State University of New Jersey · USUniversity of Maryland, College Park · USVanderbilt University · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
Image Mining for Comparative Analysis of Expression Patterns in Tissue MicroarrayR01LM009239 · NLM · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J, SALTZ, JOEL H. · 2007 to 2016
$4.5M
Collaborative Systems for Analyzing Tissue MicroarraysR01CA156386 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI FORAN, DAVID J · 2010 to 2014
$1.7M
Mechano-Visual Phenotyping of Cancer: From Onset Through Disease ProgressionR01CA161375 · NCI · UNIV OF MARYLAND, COLLEGE PARK · PI DESAI, JAYDEV P., FORAN, DAVID J · 2012 to 2016
$1.6M
NCI NIH HHS 5R01CA156386-10NCI NIH HHS 5R01CA161375NCI NIH HHS P30 CA072720NCI NIH HHS P30CA072720NCI NIH HHS R01 CA156386NCI NIH HHS R01 CA161375NLM NIH HHS 5R01LM009239-06NLM NIH HHS R01 LM009239
6 · The paper itself

Abstract

Atomic force microscopy (AFM) and other forms of scanning probe microscopy have been successfully used to assess biomechanical and bioelectrical characteristics of individual cells. When extending such approaches to heterogeneous tissue, there exists the added challenge of traversing the tissue while directing the probe to the exact location of the targeted biological components under study. Such maneuvers are extremely challenging owing to the relatively small field of view, limited availability of reliable visual cues, and lack of context. In this study we designed a system that leverages the visual topology of the serial tissue sections of interest to help guide robotic control of the AFM stage to provide the requisite navigational support. The process begins by mapping the whole-slide image of a stained specimen with a well-matched, consecutive section of unstained section of tissue in a piecewise fashion. The morphological characteristics and localization of any biomarkers in the stained section can be used to position the AFM probe in the unstained tissue at regions of interest where the AFM measurements are acquired. This general approach can be utilized in various forms of microscopy for navigation assistance in tissue specimens.

Indexed as

Breast NeoplasmsFemaleHumansMicroscopy, Atomic ForceMicrotomyRoboticsStaining and Labelingatomic force microscopyrobotic microscopyserial sections registrationvirtual microscopywhole-slide imaging

Identifiers

PMID26343283
PMCPMC4729564
OpenAlexW2106193886

What OpenQuestion holds

Textmetadata
LicenceTDM
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.