eye
Lens Crafting
Credit: Salma Muhammad Al Saai, Salil Lachke, University of Delaware, Newark
Live long enough, and there’s a good chance that you will develop a cataract, a clouding of the eye’s lens that impairs vision. Currently, U.S. eye surgeons perform about 3 million operations a year to swap out those clouded lenses with clear, artificial ones [1]. But wouldn’t it be great if we could develop non-surgical ways of preventing, slowing, or even reversing the growth of cataracts? This image, from the lab of NIH-grantee Salil Lachke at the University of Delaware, Newark, is part of an effort to do just that.
Here you can see the process of lens development at work in a tissue cross-section from an adult mouse. In mice, as in people, a single layer of stem-like epithelial cells (far left, blue/green) gives rise to specialized lens cells (middle, blue/green) throughout life. The new cells initially resemble their progenitor cells, displaying nuclei (blue) and the cytoskeletal protein actin (green). But soon these cells will produce vast amounts of water-soluble proteins, called crystallins, to enhance their transparency, while gradually degrading their nuclei to eliminate light-scattering bulk. What remains are fully differentiated, enucleated, non-replicating lens fiber cells (right, green), which refract light onto the retina at the back of the eye.
Posted In: Snapshots of Life
Tags: actin, aging, cataract, cataract surgery, confocal microscopy, crystallin, eye, eye lens, eyesight, iSyTE, lens fiber cells, systems biology, University of Delaware 2017 Art in Science, vision
Creative Minds: Reprogramming the Brain
Caption: Neuronal circuits in the mouse retina. Cone photoreceptors (red) enable color vision; bipolar neurons (magenta) relay information further along the circuit; and a subtype of bipolar neuron (green) helps process signals sensed by other photoreceptors in dim light.
Credit: Brian Liu and Melanie Samuel, Baylor College of Medicine, Houston.
When most people think of reprogramming something, they probably think of writing code for a computer or typing commands into their smartphone. Melanie Samuel thinks of brain circuits, the networks of interconnected neurons that allow different parts of the brain to work together in processing information.
Samuel, a researcher at Baylor College of Medicine, Houston, wants to learn to reprogram the connections, or synapses, of brain circuits that function less well in aging and disease and limit our memory and ability to learn. She has received a 2016 NIH Director’s New Innovator Award to decipher the molecular cues that encourage the repair of damaged synapses or enable neurons to form new connections with other neurons. Because extensive synapse loss is central to most degenerative brain diseases, Samuel’s reprogramming efforts could help point the way to preventing or correcting wiring defects before they advance to serious and potentially irreversible cognitive problems.
Tags: 2016 NIH Director’s New Innovator Award, 3D imaging, aging brain, brain, brain circuits, brain connectivity, brain diseases, eye, nervous system, neural circuitry, neural circuits, neurodegenerative disorders, neurology, remodeling synapses, retina, synapse, vision
Creative Minds: Reverse Engineering Vision
Caption: Networks of neurons in the mouse retina. Green cells form a special electrically coupled network; red cells express a distinctive fluorescent marker to distinguish them from other cells; blue cells are tagged with an antibody against an enzyme that makes nitric oxide, important in retinal signaling. Such images help to identify retinal cell types, their signaling molecules, and their patterns of connectivity.
Credit: Jason Jacoby and Gregory Schwartz, Northwestern University
For Gregory Schwartz, working in total darkness has its benefits. Only in the pitch black can Schwartz isolate resting neurons from the eye’s retina and stimulate them with their natural input—light—to get them to fire electrical signals. Such signals not only provide a readout of the intrinsic properties of each neuron, but information that enables the vision researcher to deduce how it functions and forges connections with other neurons.
The retina is the light-sensitive neural tissue that lines the back of the eye. Although only about the size of a postage stamp, each of our retinas contains an estimated 130 million cells and more than 100 distinct cell types. These cells are organized into multiple information-processing layers that work together to absorb light and translate it into electrical signals that stream via the optic nerve to the appropriate visual center in the brain. Like other parts of the eye, the retina can break down, and retinal diseases, including age-related macular degeneration, retinitis pigmentosa, and diabetic retinopathy, continue to be leading causes of vision loss and blindness worldwide.
In his lab at Northwestern University’s Feinberg School of Medicine, Chicago, Schwartz performs basic research that is part of a much larger effort among vision researchers to assemble a parts list that accounts for all of the cell types needed to make a retina. Once Schwartz and others get closer to wrapping up this list, the next step will be to work out the details of the internal wiring of the retina to understand better how it generates visual signals. It’s the kind of information that holds the key for detecting retinal diseases earlier and more precisely, fixing miswired circuits that affect vision, and perhaps even one day creating an improved prosthetic retina.
Tags: 2015 NIH Director’s New Innovator Award, age-related macular degeneration, brain, BRAIN Initiative, cerebral cortex, computational biology, computational neuroscience, connectivity matrix, diabetic retinopathy, eye, ganglion cells, macula, neurons, neuroscience, retina, retinal diseases, retinitis pigmentosa, reverse engineering, vision, vision loss, visual orientation
Snapshots of Life: A Colorful Look Inside the Retina
Credit: Amy Robinson, Alex Norton, William Silversmith, Jinseop Kim, Kisuk Lee, Aleks Zlasteski, Matt Green, Matthew Balkam, Rachel Prentki, Marissa Sorek, Celia David, Devon Jones, and Doug Bland, Massachusetts Institute of Technology, Cambridge, MA; Sebastian Seung, Princeton University, Princeton, NJ
This eerie scene might bring back memories of the computer-generated alien war machines from Steven Spielberg’s War of the Worlds thriller. But what you’re seeing is a computer-generated depiction of a quite different world—the world inside the retina, the light-sensitive tissue that lines the back of the eye. The stilt-legged “creatures” are actually ganglion nerve cells, and what appears to be their long “noses” are fibers that will eventually converge to form the optic nerve that relays visual signals to the brain. The dense, multi-colored mat near the bottom of the image is a region where the ganglia and other types of retinal cells interact to convey visual information.
What I find particularly interesting about this image is that it was produced through the joint efforts of people who played EyeWire, an internet crowdsourcing game developed in the lab of computational neuroscientist Sebastian Seung, now at Princeton University in New Jersey. Seung and his colleagues created EyeWire using a series of high-resolution microscopic images of the mouse retina, which were digitized into 3D cubes containing dense skeins of branching nerve fibers. It’s at this point where the crowdsourcing came in. Online gamers—most of whom aren’t scientists— volunteered for a challenge that involved mapping the 3D structure of individual nerve cells within these 3D cubes. Players literally colored-in the interiors of the cells and progressively traced their long extensions across the image to distinguish them from their neighbors. Sounds easy, but the branches are exceedingly thin and difficult to follow.
Posted In: Science
Tags: BioArt 2014, computational neuroscience, crowdsourcing, eye, EyeWire, FASEB, ganglion nerve cells, nerve cells, neuron, NIH Director's Transformative Research Award, online gamers, optic nerve, retina, vision
Snapshots of Life: Behold the Beauty of the Eye
Credit: Bryan William Jones and Robert E. Marc, University of Utah
The eye is a complex marvel of nature. In fact, there are some 70 to 80 kinds of cells in the mammalian retina. This image beautifully illuminates the eye’s complexity, on a cellular level—showing how these cells are arranged and wired together to facilitate sight.
“Reading” the image from left to right, we first find the muscle cells, in peach, that move the eye in its socket. The green layer, next, is the sclera—the white part of the eye. The spongy-looking layers that follow provide blood to the retina. The thin layer of yellow is the retinal pigment epithelium. The photoreceptors, in shades of pink, detect photons and transmit the information to the next layer down: the bipolar and horizontal cells (purple). From the bipolar cells, information flows to the amacrine and ganglion cells (blue, green, and turquoise) and then out of the retina via the optic nerve (the white plume that seems to billow out across the upper-right side of the eye), which transmits data to the brain for processing.
Posted In: Health, Science, Video
Tags: age-related macular degeneration, blinding diseases, CMP, Computational Molecular Phenotyping, connectome, eye, Life: Magnified, metabolites, retina, retinitis pigmentosa, vision
