Contact-Free Mechanical Mapping of 3D Microprinted Hydrogels using FLIM
by Eivgi, Or / heiDATA Harvested Dataverse·Updated 25d ago
Available on 1 platform
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Description
A dataset from heiDATA Harvested Dataverse presents raw data for mapping the mechanical properties of microscale 3D printed hydrogel microstructures. The data includes fluorescence-lifetime imaging microscopy (FLIM) data, Raman spectroscopy data, nanoindentation load–displacement curves, and microscopy images. It was authored by Eivgi, Or and last updated on May 31, 2026.
Use Cases
Correlating autofluorescence lifetime signals with mechanical properties based on FLIM and nanoindentation data.
Studying the effect of printing laser dose on material properties based on the described variation from 1.0 ns to 3.0 ns.
Investigating irreversible changes from hydration cycles based on data on dehydration and rehydration effects.
Validating contact-free mechanical mapping techniques for soft materials like PEG-based hydrogels.
Strengths
Dataset contains four distinct, complementary data types: FLIM, Raman spectroscopy, nanoindentation curves, and microscopy images.
Mechanical property range is quantified, with stiffness spanning a narrow range between 3 and 5 MPa.
Specific fluorescence lifetime values are provided, varying from approximately 1.0 ns to 3.0 ns with laser dose.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count and file sizes are unknown, which may limit suitability assessment.
Data appears focused on a specific material (PEG-based hydrogels) and fabrication method (two-photon 3D laser printing), limiting generalizability.
Provenance
Source
heiDATA Harvested Dataverse
Collection Method
Data generated from experiments involving two-photon 3D laser printing, fluorescence-lifetime imaging microscopy (FLIM), Raman spectroscopy, and nanoindentation.
Freshness
Last updated 2026-05-31 07:10:08; freshness should be verified.
License information is unknown; terms of use must be verified upon download.