Towards improved workflows for the production and metrological characterization of LA-ICP-MS calibration standards for quantitative bioimaging

Improved workflow for the production and metrological characterization of multi-elemental bioprinted gelatin droplets for instrument optimisation and calibration in biological applications.

Authors

Institutions

Publication Details

Journal
Journal of Analytical Atomic Spectrometry
Published
2025-11-21
DOI
https://doi.org/10.1039/d5ja00350d
Primary Topic
Analytical chemistry methods development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards improved workflows for the production and metrological characterization of LA-ICP-MS calibration standards for quantitative bioimaging

Heidi Goenaga‐Infante, Kharmen Billimoria, William Lee, Alexander G. Shard et al.
Journal of Analytical Atomic Spectrometry
Analytical chemistry methods development
article

Towards improved workflows for the production and metrological characterization of LA-ICP-MS calibration standards for quantitative bioimaging

Heidi Goenaga‐Infante, Kharmen Billimoria, William Lee, Alexander G. Shard, Paula Menero‐Valdés
article en

Abstract

Improved workflow for the production and metrological characterization of multi-elemental bioprinted gelatin droplets for instrument optimisation and calibration in biological applications.

Journal of Analytical Atomic SpectrometryVol. 41(1)
National Physical Laboratory (GB), Guildford College (GB)
Openalex Percentile: Top 61%
Analytical chemistry methods development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.