![]() Deep learning–based approaches have been investigated for neuron tracing. Pre-processing algorithms, including multi-scale enhancement (Zhou et al., 2015), CaNE (Liang et al., 2017), and filtering-based enhancement (Guo et al., 2022) aim to enhance images by reducing background noise and improving image contrast. Moreover, for data sets with a low signal-to-noise ratio and dense neuron distribution with neuron fiber entanglement, the existing reconstruction algorithms do not show satisfactory performance. Owing to the complexity of the images and the limitations of automated reconstruction algorithms, these algorithms are unsuitable for whole-brain images. ![]() Existing automated reconstruction algorithms are generally effective only for a few specific data sets. The wide variety of brain images in terms of background noise, complicated branching patterns, and clutter of neuron fibers presents challenges for automated neuron reconstruction. Nevertheless, neuron morphology reconstruction remains an unsolved problem (Li S. For example, the 3D Visualization-Assisted Analysis software suite Vaa3D (Peng et al., 2014) has more than 32 plugins, including ENT (Wang et al., 2017), APP (Peng et al., 2011), APP2 (Xiao and Peng, 2013), NeuTube (Zhao et al., 2011), MOST (Wu et al., 2014), and ST (Chen et al., 2015). A large number of automated neuron reconstruction algorithms exist. Research institutions have also held competitions and established worldwide projects, such as the DIADEM competition (Liu, 2011) and BigNeuron (Peng et al., 2015 Manubens-Gil et al., 2023). Researchers have developed various manual, semi-automated, and automated neuron reconstruction tools for digital reconstruction of neuron morphology (Meijering, 2010). With these techniques, reconstruction of single-neuron morphology from optical microscopy images has become possible and now has an essential role in neuron science. In recent years, there has been considerable development of techniques, including sparse, robust, and consistent fluorescent labeling of a wide range of neuronal types (Peng et al., 2021) and fluorescence micro-optical sectioning tomography (fMOST Gong et al., 2016). Neuron morphology is considered to be a critical component of neuron cell type identification (Ascoli et al., 2008). We'll have any updates if and when they emerge.Characterization of neuron cell type is an international research frontier in neuron science (Zeng and Sanes, 2017). The story surrounding Lul Tim is a developing one. Boosie Badazz has also spoken out on this development, expressing great displeasure about the decision. Instead, Melly could receive the death penalty on an 8-4 jury vote. "Meanwhile, the state of Florida is trying to give Melly the death penalty without a gun or witness and a Mistrial !! This is wild." It was announced earlier this week that the judge in Melly's case had made a ruling stating that a death penalty ruling no longer needed to be unanimous. Shit dead we like grown men that get shit done over here."Įlsewhere, YNW Melly's mother compared Lul Tim to her son's case. I hate n*ggas who don’t stand on business allot lil boy. Y’all n*ggas forever bitches to me & never stood on business. ![]() He ain’t condone shit he’ll cut a mf off for. “Speaking on open cases & telling stories he never told is top of the line snitch shit. “N*ggas doing all these interviews about King Von look goofy asl,” Asian Doll expressed with disdain on the social media platform. Elsewhere, Doll hit out at people bringing up Von in interviews. "Because the police said Tim ain't kill him, the police did," Doll wrote. In a now-deleted tweet, Doll claimed that there was something bigger at play. Doll had been very vocal about the fallout of Von's death. Asian Doll and YNW Melly Respond To Lul Tim NewsĪsian Doll, the partner of King Von, made bombshell allegations about the decision.
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