Due
to the complexity and limited availability of human brain tissues,
for decades, pathologists have sought to maximize information gained
from individual samples, based on which (patho)physiological processes
could be inferred. Recently, new understandings of chemical and physical
properties of biological tissues and multiple chemical profiling have
given rise to the development of scalable tissue clearing methods
allowing superior optical clearing of across-the-scale samples. In
the past decade, tissue clearing techniques, molecular labeling methods,
advanced laser scanning microscopes, and data visualization and analysis
have become commonplace. Combined, they have made 3D visualization
of brain tissues with unprecedented resolution and depth widely accessible.
To facilitate further advancements and applications, here we provide
a critical appraisal of these techniques. We propose a classification
system of current tissue clearing and expansion methods that allows
users to judge the applicability of individual ones to their questions,
followed by a review of the current progress in molecular labeling,
optical imaging, and data processing to demonstrate the whole 3D imaging
pipeline based on tissue clearing and downstream techniques for visualizing
the brain. We also raise the path forward of tissue-clearing-based
imaging technology, that is, integrating with state-of-the-art techniques,
such as multiplexing protein imaging, in situ signal amplification,
RNA detection and sequencing, super-resolution imaging techniques,
multiomics studies, and deep learning, for drawing the complete atlas
of the human brain and building a 3D pathology platform for central
nervous system disorders.