paper-with-me

홈 › Papers

Retina organoids: Window into the biophysics of neuronal systems

2022-01-18 · Katja A. Salbaum, Elijah R. Shelton, Friedhelm Serwane

With a kind of magnetism, the human retina draws the eye of neuroscientist and physicist alike. It is attractive as a self-organizing system, which forms as a part of the central nervous system via biochemical and mechanical cues. The retina is also intriguing as an electro-optical device, converting photons into voltages to perform on-the-fly filtering before the signals are sent to our brain. Here, we consider how the advent of stem cell derived in vitro analogs of the retina, termed retina organoids, opens up an exploration of the interplay between optics, electrics, and mechanics in a complex neuronal network, all in a Petri dish. This review presents state-of-the-art retina organoid protocols by emphasizing links to the biochemical and mechanical signals of in vivo retinogenesis. Electrophysiological recording of active signal processing becomes possible as retina organoids generate light sensitive and synaptically connected photoreceptors. Experimental biophysical tools provide data to steer the development of mathematical models operating at different levels of coarse-graining. In concert, they provide a means to study how mechanical factors guide retina self-assembly. In turn, this understanding informs the engineering of mechanical signals required to tailor the growth of neuronal network morphology. Tackling the complex developmental and computational processes in the retina requires an interdisciplinary endeavor combining experiment and theory, physics, and biology. The reward is enticing: in the next few years, retina organoids could offer a glimpse inside the machinery of simultaneous cellular self-assembly and signal processing, all in an in vitro setting.

📄 PDF Abstract BibTeX arXiv:2201.07091

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Retinal Vessel Segmentation via Neuron Programming

2024-11-17 · Tingting Wu, Ruyi Min, Peixuan Song, Hengtao Guo 외

The accurate segmentation of retinal blood vessels plays a crucial role in the early diagnosis and treatment of various ophthalmic diseases. Designing a network model for this task requires meticulous tuning and extensiv…

DiversityMedical Image AnalysisNeural Architecture SearchRetinal Vessel Segmentation

Mortal Computation: A Foundation for Biomimetic Intelligence

2023-11-16 · Alexander Ororbia, Karl Friston

This review motivates and synthesizes research efforts in neuroscience-inspired artificial intelligence and biomimetic computing in terms of mortal computation. Specifically, we characterize the notion of mortality by re…

Revealing structure components of the retina by deep learning networks

2017-11-08 · Qi Yan, Zhaofei Yu, Feng Chen, Jian. K. Liu

Deep convolutional neural networks (CNNs) have demonstrated impressive performance on visual object classification tasks. In addition, it is a useful model for predication of neuronal responses recorded in visual system.…

Deep Learning

Neural System Identification with Spike-triggered Non-negative Matrix Factorization

2018-08-12 · Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian 외

Neuronal circuits formed in the brain are complex with intricate connection patterns. Such complexity is also observed in the retina as a relatively simple neuronal circuit. A retinal ganglion cell receives excitatory in…

Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study

2024-07-30 · Feilong Tang, Matt Trinh, Annita Duong, Angelica Ly 외

Migraine, a prevalent neurological disorder, has been associated with various ocular manifestations suggestive of neuronal and microvascular deficits. However, there is limited understanding of the extent to which retina…