A light-microscopy-based technology for tissue reconstruction would enable observation of structural dynamics in living systems. To address how this crowded and complex tissue’s architecture, connectivity and functional activity evolve over time, one would ideally employ a technology that enables imaging and in silico reconstructing living brain tissue.Įlectron microscopy (EM) reconstruction offers the most detailed insights into brain architecture by tracing all neuronal structures and determining connectivity with single-synapse accuracy, thus unraveling ‘connectomes’ 2, 3, 4, 5, 6, 7, 8, 9, 10 however, this is limited to static representations, whereas specific molecular labeling requires correlative approaches 11. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue.īrain computation and information storage are intimately linked to the structure of a synaptic network of ~86 billion neurons 1 in humans. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). And that would be a disciplinary offense.Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structure–function relationships of the brain’s complex and dense information processing network however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Of course, you can’t tell anyone anything, because that would be a breach of the Official Secrets Act 1911, 1920, 1989. The few survivors from the first police and army units thrown in. Quite literally, in some cases, of course.Īnd now, there is just you. The screams of “its got a bloody chainsaw!” over the radios probably didn’t do much for morale, as whole units were chewed up. The first army units hadn’t been warned what to expect. The police were sent in, but that wasn’t even a challenge for the specimens. Others are shambling amok or even jumping amok, but you get the idea. No-one was left alive to turn off the specimen-cloning equipment. They had just got on to the chain gun and rockets when the government tried to secretly shut down their secret program.īut, in the typical way these things go, the program didn’t want to be shut down. The bigger ones were the first ones they tried arming. The basic ones will just munch on your arm and try to disembowel you. They are the left-over “specimens” from a cheap and dirty government program to clone soldier-monsters. The aim – cleanse each area of zombies, in waves, until you get to the last one. Up to 6 players in online co-op mode, or just you, on your own, playing the Solo mode. In 2013 a new "Objective Mode" was added to the game. After the Linux version launched, all non-Steam servers were closed and the game became Steam exclusive. Killing Floor 2 was announced on May 8th 2014. Killing Floor was initially released as an Unreal Tournament 2004 total conversion mod in 2005 and was later released as a retail version on May 14th, 2009 for Windows, May 5th 2010 for Mac OS X and Linux in November of 2012.
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