TY - JOUR AU - Wan, Yong AU - Otsuna, Hideo AU - Holman, Holly A. AU - Bagley, Brig AU - Ito, Masayoshi AU - Lewis, A. Kelsey AU - Colasanto, Mary AU - Kardon, Gabrielle AU - Ito, Kei AU - Hansen, Charles PY - 2017 DA - 2017/05/26 TI - FluoRender: joint freehand segmentation and visualization for many-channel fluorescence data analysis JO - BMC Bioinformatics SP - 280 VL - 18 IS - 1 AB - Image segmentation and registration techniques have enabled biologists to place large amounts of volume data from fluorescence microscopy, morphed three-dimensionally, onto a common spatial frame. Existing tools built on volume visualization pipelines for single channel or red-green-blue (RGB) channels have become inadequate for the new challenges of fluorescence microscopy. For a three-dimensional atlas of the insect nervous system, hundreds of volume channels are rendered simultaneously, whereas fluorescence intensity values from each channel need to be preserved for versatile adjustment and analysis. Although several existing tools have incorporated support of multichannel data using various strategies, the lack of a flexible design has made true many-channel visualization and analysis unavailable. The most common practice for many-channel volume data presentation is still converting and rendering pseudosurfaces, which are inaccurate for both qualitative and quantitative evaluations. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-017-1694-9 DO - 10.1186/s12859-017-1694-9 ID - Wan2017 ER -