Software solutions for evaluation and visualization of laser ablation inductively coupled plasma mass spectrometry imaging (LA-ICP-MSI) data: a short overview

Mass spectrometry imaging (MSI) using laser ablation (LA) inductively coupled plasma (ICP) is an innovative and exciting methodology to perform highly sensitive elemental analyses. LA-ICP-MSI of metals, trace elements or isotopes in tissues has been applied to a range of biological samples. Several LA-ICP-MSI studies have shown that metals have a highly compartmentalized distribution in some organs, which might be altered in consequence of genetic diseases, intoxication, or malnutrition. Although metal imaging by LA-ICP-MSI is an established methodology, potential pitfalls in the determination of metal concentrations might result from erroneous calibration, standardization, and normalization. In addition, for simple display of final imaging results, most LA-ICP-MSI users prefer to process their measurements by commercial processing software. Such programs typically visualize the regional metal differences in colorful and vivid imaging maps, but might not represent the actual signal densities correctly. There is a great abundance of such MSI data processing programs available differing in quality, usability, integrated features, workflow, reliability, system requirements, speed of data processing, and price. Some software packages contain a multitude of features which are superfluous for most users. In contrast, often only few data formats are used, in case of commercial programs even only the instrument provider’s own raw data format. Therefore, first time and average users are often confused and helpless in choosing the correct software for processing their data. Here we have briefly summarized software packages, data routines, macros, programming tools, scripts, algorithms, or self-written patches and updates for existing programs presently in use for mining LA-ICP-MSI data.

[1]  David C Muddiman,et al.  MSiReader: An Open-Source Interface to View and Analyze High Resolving Power MS Imaging Files on Matlab Platform , 2013, Journal of The American Society for Mass Spectrometry.

[2]  K. Stevenson Review of OriginPro 8.5 , 2011 .

[3]  R. Weiskirchen,et al.  Brain copper storage after genetic long-term correction in a mouse model of Wilson disease , 2018, Neurology: Genetics.

[4]  Per E Andrén,et al.  msIQuant--Quantitation Software for Mass Spectrometry Imaging Enabling Fast Access, Visualization, and Analysis of Large Data Sets. , 2016, Analytical chemistry.

[5]  Lingjun Li,et al.  Liquid chromatography-matrix-assisted laser desorption/ionization mass spectrometric imaging with sprayed matrix for improved sensitivity, reproducibility and quantitation. , 2013, The Analyst.

[6]  Marie-France Robbe,et al.  imzML--a common data format for the flexible exchange and processing of mass spectrometry imaging data. , 2012, Journal of proteomics.

[7]  L. Arckens,et al.  CreateTarget and Analyze This!: new software assisting imaging mass spectrometry on Bruker Reflex IV and Ultraflex II instruments. , 2006, Rapid communications in mass spectrometry : RCM.

[8]  Natalie I. Tasman,et al.  A Cross-platform Toolkit for Mass Spectrometry and Proteomics , 2012, Nature Biotechnology.

[9]  C. Flechtenmacher,et al.  Laser ablation inductively coupled plasma mass spectrometry imaging of metals in experimental and clinical Wilson's disease , 2015, Journal of cellular and molecular medicine.

[10]  J. Andrews,et al.  Defining the distribution of arsenic species and plant nutrients in rice (Oryza sativa L.) from the root to the grain , 2011 .

[11]  I. McNulty,et al.  The MicroAnalysis Toolkit: X‐ray Fluorescence Image Processing Software , 2011 .

[12]  V. Havlíček,et al.  CycloBranch: De Novo Sequencing of Nonribosomal Peptides from Accurate Product Ion Mass Spectra , 2015, Journal of The American Society for Mass Spectrometry.

[13]  C. Palm,et al.  IMAGENA: Image Generation and Analysis – An interactive software tool handling LA-ICP-MS data , 2011 .

[14]  A. Bosserhoff,et al.  Novel Bioimaging Techniques of Metals by Laser Ablation Inductively Coupled Plasma Mass Spectrometry for Diagnosis Of Fibrotic and Cirrhotic Liver Disorders , 2013, PloS one.

[15]  W. Stremmel,et al.  Simultaneous monitoring of cerebral metal accumulation in an experimental model of Wilson’s disease by laser ablation inductively coupled plasma mass spectrometry , 2014, BMC Neuroscience.

[16]  P. Renaud,et al.  In vivo neurochemical measurements in cerebral tissues using a droplet-based monitoring system , 2017, Nature Communications.

[17]  Rachel V. Bennett,et al.  OmniSpect: An Open MATLAB-Based Tool for Visualization and Analysis of Matrix-Assisted Laser Desorption/Ionization and Desorption Electrospray Ionization Mass Spectrometry Images , 2013, Journal of The American Society for Mass Spectrometry.

[18]  R. Weiskirchen,et al.  Reconstruction of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) spatial distribution images in Microsoft Excel 2007 , 2016 .

[19]  Sebastian Gibb,et al.  MALDIquant: a versatile R package for the analysis of mass spectrometry data , 2012, Bioinform..

[20]  L. Eberlin,et al.  Imaging of whole zebra fish (Danio rerio) by desorption electrospray ionization mass spectrometry. , 2014, Rapid communications in mass spectrometry : RCM.

[21]  Milad Nazari,et al.  MSiReader v1.0: Evolving Open-Source Mass Spectrometry Imaging Software for Targeted and Untargeted Analyses , 2017, Journal of The American Society for Mass Spectrometry.

[22]  M. Alexander,et al.  Improved Extraction Repeatability and Spectral Reproducibility for Liquid Extraction Surface Analysis-Mass Spectrometry Using Superhydrophobic-Superhydrophilic Patterning. , 2018, Analytical chemistry.

[23]  Tanya M. Smith,et al.  Barium distributions in teeth reveal early life dietary transitions in primates , 2013, Nature.

[24]  Juan Antonio Vizcaíno,et al.  A public repository for mass spectrometry imaging data , 2014, Analytical and Bioanalytical Chemistry.

[25]  L. Schöckel,et al.  Histology and Gadolinium Distribution in the Rodent Brain After the Administration of Cumulative High Doses of Linear and Macrocyclic Gadolinium-Based Contrast Agents , 2017, Investigative radiology.

[26]  Jocelyn Kaiser,et al.  Public-Private Group Maps Out Initiatives , 2002, Science.

[27]  R. Weiskirchen,et al.  Determination of copper poisoning in Wilson's disease using laser ablation inductively coupled plasma mass spectrometry. , 2019, Annals of Translational Medicine.

[28]  Daniel Glez-Peña,et al.  LA-iMageS: a software for elemental distribution bioimaging using LA–ICP–MS data , 2016, Journal of Cheminformatics.

[29]  Ivo Klinkert,et al.  Methods for full resolution data exploration and visualization for large 2D and 3D mass spectrometry imaging datasets , 2014 .

[30]  Olga Vitek,et al.  Cardinal: an R package for statistical analysis of mass spectrometry-based imaging experiments , 2015, Bioinform..

[31]  Marie-France Robbe,et al.  Software Tools of the Computis European Project to Process Mass Spectrometry Images , 2014, European journal of mass spectrometry.

[32]  V. Havlíček,et al.  Batch-processing of imaging or liquid-chromatography mass spectrometry datasets and De Novo sequencing of polyketide siderophores. , 2017, Biochimica et biophysica acta. Proteins and proteomics.

[33]  Jean-Pierre Both,et al.  imzML: Imaging Mass Spectrometry Markup Language: A common data format for mass spectrometry imaging. , 2011, Methods in molecular biology.

[34]  Run-tao Tian,et al.  MassImager: A software for interactive and in-depth analysis of mass spectrometry imaging data. , 2018, Analytica chimica acta.

[35]  Philip Doble,et al.  Three-dimensional elemental bio-imaging of Fe, Zn, Cu, Mn and P in a 6-hydroxydopamine lesioned mouse brain. , 2010, Metallomics : integrated biometal science.

[36]  Prabhu Ramachandran,et al.  MayaVi: A free tool for CFD data visualization , 2001 .

[37]  Eisuke Hayakawa,et al.  MSIdV: a versatile tool to visualize biological indices from mass spectrometry imaging data , 2016, Bioinform..

[38]  Katsutoshi Takahashi,et al.  Development and Application of a High-Resolution Imaging Mass Spectrometer for the Study of Plant Tissues. , 2015, Plant & cell physiology.

[39]  R. Weiskirchen,et al.  Bioimaging of copper deposition in Wilson's diseases mouse liver by laser ablation inductively coupled plasma mass spectrometry imaging (LA-ICP-MSI) , 2013 .

[40]  Robert Winkler,et al.  MSI.R scripts reveal volatile and semi-volatile features in low-temperature plasma mass spectrometry imaging (LTP-MSI) of chilli (Capsicum annuum) , 2015, Analytical and Bioanalytical Chemistry.

[41]  Oliver Rübel,et al.  OpenMSI: a high-performance web-based platform for mass spectrometry imaging. , 2013, Analytical chemistry.

[42]  Josephine Bunch,et al.  Inclusive sharing of mass spectrometry imaging data requires a converter for all. , 2012, Journal of proteomics.

[43]  Matthew W. Semler,et al.  Dietary Zinc Alters the Microbiota and Decreases Resistance to Clostridium difficile Infection , 2016, Nature Medicine.

[44]  T. Hirata,et al.  U-Pb dating of calcite using LA-ICP-MS: Instrumental setup for non-matrix-matched age dating and determination of analytical areas using elemental imaging , 2018 .

[45]  T. Magna,et al.  Geochronology, geochemistry and tectonic evolution of the Western and Central cordilleras of Colombia , 2011 .

[46]  Mark Anderson Service and Support , 2018 .

[47]  Josephine Bunch,et al.  SpectralAnalysis: Software for the Masses. , 2016, Analytical chemistry.

[48]  James G. Moberly,et al.  Key features and updates for Origin 2018 , 2018, Journal of Cheminformatics.

[49]  R. Weiskirchen Lipopolysaccharide-induced acute phase response: New views on trace metal plasticity in hepatic inflammation , 2018 .

[50]  J. Griffin,et al.  massPix: an R package for annotation and interpretation of mass spectrometry imaging data for lipidomics , 2017, Metabolomics.

[51]  D. Pröfrock,et al.  Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) for Quantitative Analysis in Environmental and Life Sciences: A Review of Challenges, Solutions, and Trends , 2012, Applied spectroscopy.

[52]  V. Dressler,et al.  Recent applications of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) for biological sample analysis: a follow-up review , 2017 .

[53]  M. Arruda,et al.  A quantitative approach for Cd, Cu, Fe and Mn through laser ablation imaging for evaluating the translocation and accumulation of metals in sunflower seeds. , 2017, Talanta.

[54]  D. Austin,et al.  Simulations of ion motion in toroidal ion traps , 2014 .

[55]  P. Adlard,et al.  Three-dimensional atlas of iron, copper, and zinc in the mouse cerebrum and brainstem. , 2012, Analytical chemistry.

[56]  Philipp Kim,et al.  Quantification of liver iron overload disease with laser ablation inductively coupled plasma mass spectrometry , 2018, BMC Medical Imaging.

[57]  T. Hirata,et al.  iQuant2: Software for Rapid and Quantitative Imaging Using Laser Ablation-ICP Mass Spectrometry , 2018, Mass spectrometry.