21 research outputs found

    Minimally Invasive Surgery for Intraocular Lens Removal and Intrascleral Intraocular Lens Fixation with Trabeculectomy in a Patient with Dislocated Intraocular Lens and Elevated Intraocular Pressure

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    A 88-year-old female who was being treated for end-stage pseudoexfoliation syndrome was referred to our hospital for treatment of dislocated intraocular lens (IOL) and the elevated intraocular pressure (IOP) and in the right eye (RE). At the first visit to our hospital, best-corrected visual acuity (BCVA) was 0.2 in the RE and 0.02 in the left eye (LE). IOP was 47 mm Hg in the RE and 21 mm Hg in the LE. Slit-lamp examination showed no abnormalities in anterior segments and dislocated IOL in the RE. Fundus photograph showed optic disc pallor in both eyes. We performed the combined therapy of flanged intrascleral IOL fixation with the double-needle technique and trabeculectomy. Throughout the follow-up period, BCVA slightly improved from 0.2 to 0.4 in the RE. The angle of tilt of the IOL was 6.6, 7.9, and 8.7° as measured by swept-source optical coherence tomography at 1, 4, and 6 months after the surgery, respectively. The IOP remained less than 10 mm Hg without having to administer any other glaucoma medications. Furthermore, any complications associated with the surgery were not confirmed

    Whole-Brain Analysis of Cells and Circuits by Tissue Clearing and Light-Sheet Microscopy

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    In this photo essay, we present a sampling of technologies from laboratories at the forefront of whole-brain clearing and imaging for high-resolution analysis of cell populations and neuronal circuits. The data presented here were provided for the eponymous Mini-Symposium presented at the Society for Neuroscience's 2018 annual meeting

    Whole-Brain Analysis of Cells and Circuits by Tissue Clearing and Light-Sheet Microscopy

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    In this photo essay, we present a sampling of technologies from laboratories at the forefront of whole-brain clearing and imaging for high-resolution analysis of cell populations and neuronal circuits. The data presented here were provided for the eponymous Mini-Symposium presented at the Society for Neuroscience's 2018 annual meeting

    Optimal run-and-tumble–based transportation of a Janus particle with active steering

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    Although making artificial micrometric swimmers has been made possible by using various propulsion mechanisms, guiding their motion in the presence of thermal fluctuations still remains a great challenge. Such a task is essential in biological systems, which present a number of intriguing solutions that are robust against noisy environmental conditions as well as variability in individual genetic makeup. Using synthetic Janus particles driven by an electric field, we present a feedback-based particle-guiding method quite analogous to the “run-and-tumbling” behavior of Escherichia coli but with a deterministic steering in the tumbling phase: the particle is set to the run state when its orientation vector aligns with the target, whereas the transition to the “steering” state is triggered when it exceeds a tolerance angle α. The active and deterministic reorientation of the particle is achieved by a characteristic rotational motion that can be switched on and off by modulating the ac frequency of the electric field, which is reported in this work. Relying on numerical simulations and analytical results, we show that this feedback algorithm can be optimized by tuning the tolerance angle α. The optimal resetting angle depends on signal to noise ratio in the steering state, and it is shown in the experiment. The proposed method is simple and robust for targeting, despite variability in self-propelling speeds and angular velocities of individual particles.This work was supported by KAKENHI (Grant-in-Aid for Scientific Research on Innovative Areas) Grants 25103004, 268 Fluctuation & Structure and 12F02327 from the Ministry of Education, Culture, Sports, Science, and Technology.N

    Whole-Brain Analysis of Cells and Circuits by Tissue Clearing and Light-Sheet Microscopy

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    In this photo essay, we present a sampling of technologies from laboratories at the forefront of whole-brain clearing and imaging for high-resolution analysis of cell populations and neuronal circuits. The data presented here were provided for the eponymous MiniSymposium presented at the Society for Neuroscience’s 2018 annual meeting.NIH (Grant 1-DP2-ES027992

    Wake-like skin patterning and neural activity during octopus sleep

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    While sleeping, many vertebrate groups alternate between at least two sleep stages: rapid eye movement and slow wave sleep in part characterized by wake-like and synchronous brain activity, respectively. Here we delineate neural and behavioural correlates of two stages of sleep in octopuses, marine invertebrates that evolutionarily diverged from vertebrates roughly 550 million years ago (ref. 5) and have independently evolved large brains and behavioural sophistication. ‘Quiet’ sleep in octopuses is rhythmically interrupted by approximately 60-s bouts of pronounced body movements and rapid changes in skin patterning and texture6. We show that these bouts are homeostatically regulated, rapidly reversible and come with increased arousal threshold, representing a distinct ‘active’ sleep stage. Computational analysis of active sleep skin patterning reveals diverse dynamics through a set of patterns conserved across octopuses and strongly resembling those seen while awake. High-density electrophysiological recordings from the central brain reveal that the local field potential (LFP) activity during active sleep resembles that of waking. LFP activity differs across brain regions, with the strongest activity during active sleep seen in the superior frontal and vertical lobes, anatomically connected regions associated with learning and memory function. During quiet sleep, these regions are relatively silent but generate LFP oscillations resembling mammalian sleep spindles in frequency and duration. The range of similarities with vertebrates indicates that aspects of two-stage sleep in octopuses may represent convergent features of complex cognition.journal articl
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