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Paper‐MAP: A Novel Tool for Super‐resolution Imaging of Pathological Tissues by Rapidly Tissue Expansion and Clearing
Author(s) -
Lee Mirae,
Woo Jiwon,
Chang Jin Woo,
Park JeongYoon
Publication year - 2022
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2022.36.s1.r4309
Subject(s) - biological tissue , brain tissue , biomedical engineering , neuroimaging , superresolution , computer science , computational biology , pathology , neuroscience , biology , artificial intelligence , medicine , image (mathematics)
Super‐resolution mapping of three‐dimensional (3D) structures in intact tissues is essential in many biological studies. Biological tissues has very complex structure of functional networking with various cell population/organization. Since most biological tissues are not transparent, and imaging processes are limited by light scatter, imaging deep within the tissues is problematic. In this work, we developed the novel method as call Paper‐MAP for rapidly and simple clearing/expansion of based on MAP (Magnified Analysis of Proteome) using very thin tissue. The Paper‐MAP can be analyzed to super‐resolution 3D imaging of hybrid tissue with rapidly 4‐fold clearing/expansion in under 14 hours, while preserving their overall architecture and protein content of subcellular details after hydrogel embedding. Using a Paper‐MAP, we performed the super‐resolution imaging of pathological samples, such as injured spinal cord, brain hippocampus, salivary gland organoid, tumor sphere, and glioblastoma tumor of human patients. This technique provides an ideal way for researchers to examine the pathologic patterns as well as various intact biological samples.