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Megapixel scanning transmission soft X-ray microscopy imaging coupled with compressive sensing X-ray fluorescence for fast investigation of large biological tissues.
Kourousias, George; Billè, Fulvio; Borghes, Roberto; Pascolo, Lorella; Gianoncelli, Alessandra.
Affiliation
  • Kourousias G; Elettra Sincrotrone Trieste, SS 14 km 163, 5 in Area Science Park, 34149 Basovizza, Trieste, Italy. alessandra.gianoncelli@elettra.eu.
  • Billè F; Elettra Sincrotrone Trieste, SS 14 km 163, 5 in Area Science Park, 34149 Basovizza, Trieste, Italy. alessandra.gianoncelli@elettra.eu.
  • Borghes R; Elettra Sincrotrone Trieste, SS 14 km 163, 5 in Area Science Park, 34149 Basovizza, Trieste, Italy. alessandra.gianoncelli@elettra.eu.
  • Pascolo L; Institute for Maternal and Child Health, IRCCS Burlo Garofolo, via dell'Istria 65/1, 34137 Trieste, Italy.
  • Gianoncelli A; Elettra Sincrotrone Trieste, SS 14 km 163, 5 in Area Science Park, 34149 Basovizza, Trieste, Italy. alessandra.gianoncelli@elettra.eu.
Analyst ; 146(19): 5836-5842, 2021 Sep 27.
Article in En | MEDLINE | ID: mdl-34378555
ABSTRACT
Soft X-ray microscopy coupled with low energy X-ray fluorescence is a powerful tool for investigating complex biological systems like cells and tissues. Due to certain characteristics of X-ray sources, sample stage motors, and detectors, the examination of large areas at high resolutions is very time consuming, often confining the analysis only to a restricted number of pre-selected representative regions. Here we propose and demonstrate a compressive sensing method that provides an alternative approach for overcoming such limitations and can be applied to different kinds of samples and other microscopy and analytical techniques.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microscopy Type of study: Diagnostic_studies Language: En Journal: Analyst Year: 2021 Document type: Article Affiliation country: Italy

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microscopy Type of study: Diagnostic_studies Language: En Journal: Analyst Year: 2021 Document type: Article Affiliation country: Italy