Image processing tools for petabyte-scale light sheet microscopy data.

Light sheet microscopy is a powerful technique for high-speed three-dimensional imaging of subcellular dynamics and large biological specimens. However, it often generates datasets ranging from hundreds of gigabytes to petabytes in size for a single experiment. Conventional computational tools process such images far slower than the time to acquire them and often fail outright due to memory limitations.

Evaluating the Quality and Impact of TikTok Videos on Autologous Breast Reconstruction with Deep Inferior Epigastric Perforator Artery Flaps.

Background: With the rising influence of social media on healthcare perceptions, this study investigates TikTok's role in educating the public about autologous breast reconstruction, specifically focusing on deep inferior epigastric perforator flaps.

Methods: We conducted a systematic analysis of 152 TikTok videos related to deep inferior epigastric perforator flap procedures, evaluating the accuracy of the content, viewer engagement metrics, and the influence of content creator characteristics on viewer interactions.

Results: Our analysis identified a wide variance in the quality of information, with many videos lacking in-depth educational content, thereby posing a risk of misinformation.

Characterization, comparison, and optimization of lattice light sheets.

Lattice light sheet microscopy excels at the noninvasive imaging of three-dimensional (3D) dynamic processes at high spatiotemporal resolution within cells and developing embryos. Recently, several papers have called into question the performance of lattice light sheets relative to the Gaussian sheets most common in light sheet microscopy. Here, we undertake a theoretical and experimental analysis of various forms of light sheet microscopy, which demonstrates and explains why lattice light sheets provide substantial improvements in resolution and photobleaching reduction.