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However, conventional imaging cannot capture microenvironmental alterations at subcellular resolution. In this study, denoising\u2010assisted multiphoton microscopy (MPM) was used to investigate the microstructural features of the TP in rat brain tissue. Image processing and quantitative analysis were performed to characterize normal tissue, penumbra, and core regions. To accelerate high\u2010quality imaging, we proposed a Dual\u2010Branch Collaborative Network (DBCNet) to restore low\u2010noise images from single\u2010scan data using multi\u2010scan references. The results show that MPM reveals key pathological features such as intracellular edema, vasogenic edema, and cytoplasmic matrix disruption. DBCNet effectively suppresses noise, enhances fine structures, and reduces imaging time to one\u2010fourth without hardware modification. These findings demonstrate that denoising\u2010assisted MPM provides a rapid and efficient strategy for high\u2010resolution imaging and quantitative assessment of the TP microenvironment.<\/jats:p>","DOI":"10.1002\/jbio.70303","type":"journal-article","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T13:52:08Z","timestamp":1780408328000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Denoising\u2010Assisted Rapid Multiphoton Imaging for Analysing Traumatic Penumbra Microenvironment in\u00a0Rat Brain"],"prefix":"10.1002","volume":"19","author":[{"given":"Pan","family":"Guo","sequence":"first","affiliation":[{"name":"Chongqing Key Laboratory of Optical Fiber Sensor and Photoelectric Detection Chongqing University of Technology  Chongqing 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