Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Mechanical phenotyping of breast cancer using MEMS: a method to demarcate benign and cancerous breast tissues.

Lab on a chip - 7 Dec 2014

Pandya Hardik J, Chen Wenjin, Goodell Lauri A, Foran David J, Desai Jaydev P

Abstract excerpt

The mechanical properties of tissue change significantly during the progression from healthy to malignant. Quantifying the mechanical properties of breast tissue within the tumor microenvironment can help to delineate benign from cancerous stages. In this work, we study high-grade invasive ductal carcinoma in comparison with their matched tumor adjacent areas, which exhibit benign morphology. Such paired tissue...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Breast
Share to Breast Neoplasms
Share to Carcinoma, Ductal, Breast

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Microscopy, Electron, Scanning

Share to Phenotype

Share to Tissue Array Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 25267099
DOI: 10.1039/c4lc00594e
PMCID: PMC4224189

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mechanical phenotyping of breast cancer using MEMS: a method to demarcate benign and cancerous breast tissues.PMID 25267099Read ↗

Mechanical Fingerprints in Breast Cancer Research: A Multimodal Experimental ApproachSemantic proximity Read ↗

Oral cancer diagnosis by mechanical phenotyping.Semantic proximity Read ↗

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cellsSemantic proximity Read ↗

A convolutional neural network STIFMap reveals associations between stromal stiffness and EMT in breast cancerSemantic proximity Read ↗

A microfluidic pipette array for mechanophenotyping of cancer cells and mechanical gating of mechanosensitive channels.Semantic proximity Read ↗

Application of self-organizing maps to AFM-based viscoelastic characterization of breast cancer cell mechanicsSemantic proximity Read ↗

Regulation of micropatterned curvature-dependent FA heterogeneity on cytoskeleton tension and nuclear DNA synthesis of malignant breast cancer cellsSemantic proximity Read ↗

Observation of Field Cancerization in Human Breast Tissue with Raman Hyperspectral Imaging and Artificial Neural NetworksSemantic proximity Read ↗

Penile Cancer: Innovations in Ultrastructural and Vibrational MarkersSemantic proximity Read ↗

Tracking breast cancer progression using MethylscapeSemantic proximity Read ↗

Visualization of breast cancer using contrast-enhanced optical coherence elastography based on tissue heterogeneitySemantic proximity Read ↗

Physical network regimes of 3D fibrillar collagen networks trigger invasive phenotypes of breast cancer cells.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.