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Quantitative imaging of Candida utilis and its organelles by soft X‐ray Nano‐CT
Author(s) -
LIU J.,
LI F.,
CHEN L.,
GUAN Y.,
TIAN L.,
XIONG Y.,
LIU G.,
TIAN Y.
Publication year - 2018
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.12650
Subject(s) - organelle , microscopy , segmentation , soft tissue , biophysics , materials science , chemistry , biological system , biology , optics , physics , computer science , biochemistry , artificial intelligence , pathology , medicine
Summary Soft X‐ray microscopy has excellent characteristics for imaging cells and subcellular structures. In this paper, the yeast strain, Candida utilis , was imaged by soft X‐ray microscopy and three‐dimensional volumes were reconstructed with the SART‐TV method. We performed segmentation on the reconstruction in three dimensions and identified several types of subcellular architecture within the specimen cells based on their linear absorption coefficient (LAC) values. Organelles can be identified by the correlation between the soft X‐ray LAC values and the subcellular architectures. Quantitative analyses of the volume ratio of organelles to whole cell in different phases were also carried out according to the three‐dimensional datasets. With such excellent features, soft X‐ray imaging has a great influence in the field of biological cellular and subcellular research.