Volumetric additive manufacturing (VAM) transforms traditional 2D light pattern projection into spatial light field energy superposition, maximizing the utilization of radiated light and allowing for ultra-fast, support-free printing, which has specific applications in fields such as life sciences and optics. However, traditional VAM processes require numerous projections and extensive computational preparation, limiting practical applications due to low projection efficiency and prolonged calculation times. In this study, we developed sparse-view irradiation processing VAM (SVIP-VAM), employing an optimized odd-even (OE) irradiation strategy inspired by sparse-view computed tomography. Theoretically, we demonstrated structural contour reconstruction feasibility with as few as 8 projections. Using this sparse-view approach, we achieved high-quality fabrication with only 15 projections, enhancing each projection efficiency by over 60 times and reducing projection set computational time by nearly 10-fold. Ultimately, this efficient sparse-view method significantly expands VAM applications into fields requiring rapid manufacturing, such as tissue engineering, medical implants, and aerospace manufacturing.

Atherosclerosis is a major cause of mortality and morbidity, and rupture can lead to myocardial infarction and stroke. The vulnerability assessment of atherosclerosis plaques is important for providing medical treatment. Identifying vulnerable plaques requires noninvasive, high‐resolution imaging techniques for capturing and locating high‐risk markers. Photoacoustic imaging (PAI) is a hybrid and novel imaging modality that uses nonionizing excitation and has substantial promise for vulnerability assessment of atherosclerosis. The current review examined current applications of multimodal PAI for identification of atherosclerosis plaques. Furthermore, we discuss the challenges and limitations in the implementation this method and future research directions to overcome these difficulties. First, we discuss two aspects of vulnerable plaque characterization: large necrotic cores and thin degraded cap component identification. Then, we then discuss applications of high‐risk plaque characterization, including intraplaque hemorrhage and heme degradation markers detection. We hope that this review will shed light on the potential application of optical imaging techniques in atherosclerosis identification and facilitate further studies that will ultimately lead to the broader application of multimodal PAI in clinical practice.