Rapid Whole‐Organ Characterization via Quantitative Light‐Sheet Microscopy

Whole‐organ imaging and characterization at a submicron level provide abundant information on development and diseases while remaining a big challenge, especially in the context of time load. Herein, a quantitative light‐sheet microscopy platform that enabled highly time‐efficient assessments of fibrous structures within the intact cleared tissue is developed. Dual‐view inverted selective plane illumination microscopy (diSPIM), followed by improved registration and deconvolution, led to submicron isotropic imaging of mouse upper genital tract with one hundred‐fold speed‐ups than previous efforts. Further, optical metrics quantifying 3D local density and structural complexity of targets based on parallel and vectorized convolution in both spatial and frequency domains are developed. Collectively, ≈400–2000 fold increases in time efficiency counting for imaging, postprocessing, and quantitative characterization compared to the traditional method is gained. Using this platform, automatic identification of medulla and cortex within the mouse ovary at over 90% overlap with manual selection by anatomy experts is achieved. Additionally, heterogeneous distributions of immune cells in the mouse ovary and fallopian tube, offering a unique perspective for understanding the immune microenvironment are discovered. This work paves the way for future whole‐organ study, and exhibits potential with promise for offering mechanistic insights into physiological and pathological alterations of biological tissues. A quantitative light‐sheet microscopy platform is developed to enable time‐efficient submicron imaging and quantification of whole organs. Using improved processing techniques, this method enhances imaging and characterization speed by up to 2000‐fold over previous efforts. It achieves accurate identification of distinct portions within the mouse ovary and reveals heterogeneous distributions of immune cells, offering insights into alterations of biological tissues.