This review examines the significant role of Atomic Force Microscopy (AFM) in neurobiological research and its emerging clinical applications in diagnosing neurological disorders and central nervous system (CNS) tumours. AFM, known for its nanometre-scale resolution and piconewton-scale force sensitivity, offers ground breaking insights into the biomechanical properties of brain cells and tissues and their interactions within their microenvironment. This review delves into the application of AFM in non-clinical settings, where it characterizes molecular, cellular, and tissue-level aspects of neurological disorders in experimental models. This includes studying ion channel distribution, neuron excitability in genetic disorders, and axonal resistance to mechanical injury. In the clinical context, this article emphasizes AFM’s potential in early detection and monitoring of neurodegenerative diseases, such as Alzheimer's Disease (AD), Parkinson's Disease (PD) and amyotrophic lateral sclerosis (ALS), through biomarker characterization in biofluids such as cerebrospinal fluid and blood. It also examines the use of AFM in enhancing the grading and treatment of CNS tumours by assessing their stiffness, providing a more detailed analysis than traditional histopathological methods. Despite its promise, this review acknowledges challenges in integrating AFM into clinical practice, such as sample heterogeneity and data analysis complexity, and discusses emerging solutions such as machine learning and neural networks to overcome these hurdles. These advancements, combined with commercial nanotechnology platforms, herald a new era in personalized treatment strategies for management, treatment and diagnosis of neurological disorders.
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