Reconstruction, analysis, and segmentation of LA-ICP-MS imaging data using Python for the identification of sub-organ regions in tissues

The Analyst ◽  
2020 ◽  
Vol 145 (10) ◽  
pp. 3705-3712
Author(s):  
Laura J. Castellanos-García ◽  
S. Gokhan Elci ◽  
Richard W. Vachet

Freely available software written in Python is described that can analyze and reconstruct laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) imaging data, and enable the segmentation of metal distributions in biological tissues.

2008 ◽  
Vol 80 (12) ◽  
pp. 2643-2655 ◽  
Author(s):  
J. Sabine Becker ◽  
M. Zoriy ◽  
Valderi L. Dressler ◽  
Bei Wu ◽  
J. Susanne Becker

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has become established as a very efficient and sensitive trace, ultratrace, and surface analytical technique in the life sciences. We have developed a new analytical imaging technique using LA-ICP-MS to study element distribution in biological tissues. Nowadays, LA imaging ICP-MS using double-focusing sector field (LA-ICP-SFMS) or quadrupole-based mass spectrometers (LA-ICP-QMS) can be applied as an exciting tool providing new information on the pathophysiology, pharmacology, and toxicology of elements of interest in biological systems. The quantitative determination of elements (e.g., Cu, Fe, Zn, Se, and others) in biological tissues is of growing interest especially in brain research (e.g., for studying neurodegenerative diseases such as Alzheimer's or Parkinson's disease). LA-ICP-SFMS was employed to produce images of detailed regionally specific element distributions in thin tissue sections of different sizes (such as control human or rat brain tissues or tumor regions). In addition, imaging MS using LA-ICP-QMS was applied to study the uptake and transport of nutrient and toxic elements in plant tissues.Besides the quantitative imaging of essential and toxic elements in tissues, powerful analytical techniques are also required for the determination and characterization of phosphoproteins and metal-containing proteins within a large pool of proteins, after electrophoretic separation (e.g., blue native, BN and sodium dodecyl sulfate-polyacrylamide gel electrophoresis, SDS-PAGE) into 1D and 2D gels. LA-ICP-MS was used to detect metalloproteins in protein bands of 1D gels or protein spots separated after 2D gel electrophoresis (2D-GE). In addition to elemental determination by LA-ICP-MS, matrix-assisted laser desorption/ionization (MALDI)-MS was employed to identify metal-containing proteins. Recent progress will be discussed in applying LA-ICP-MS in the life sciences, including the imaging of thin slices of tissue and applications in proteome analysis in combination with MALDI-MS to investigate phosphoproteins and metal-containing proteins.


2017 ◽  
Vol 32 (5) ◽  
pp. 890-919 ◽  
Author(s):  
D. Pozebon ◽  
G. L. Scheffler ◽  
V. L. Dressler

Information provided by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) in the analysis of biological tissues is expanding.


2016 ◽  
Vol 31 (4) ◽  
pp. 1030-1033 ◽  
Author(s):  
J. S. Hamilton ◽  
E. L. Gorishek ◽  
P. M. Mach ◽  
D. Sturtevant ◽  
M. L. Ladage ◽  
...  

A new single Peltier element ablation cell is described and its applicability to biological sampling discussed to evaluate its performance.


2017 ◽  
Vol 32 (8) ◽  
pp. 1500-1507 ◽  
Author(s):  
Jorge Moreda-Piñeiro ◽  
Alicia Cantarero-Roldán ◽  
Antonio Moreda-Piñeiro ◽  
José Ángel Cocho ◽  
Pilar Bermejo-Barrera

An approach by laser ablation (LA) coupled with inductively coupled mass spectrometry (ICP-MS) for multi-element determination in whole blood is described.


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