A new way to digitally navigate three-dimensional images has been identified by scientists. The new technology, called Virtual Finger, allows scientists to move through digital images of small structures like neurons and synapses using the flat surface of their computer screens. Virtual Finger's unique technology makes 3D imaging studies orders of magnitude more efficient, saving time, money and resources at an unprecedented level across many areas of experimental biology. The software and its applications are profiled in this week's issue of the journal Nature Communications.
Most other image analysis software works by dividing a three-dimensional image into a series of thin slices, each of which can be viewed like a flat image on a computer screen. To study three-dimensional structures, scientists sift through the slices one at a time: a technique that is increasingly challenging with the advent of big data. "Looking through 3D image data one flat slice at a time is simply not efficient, especially when we are dealing with terabytes of data," explains Hanchuan Peng, Associate Investigator at the Allen Institute for Brain Science.
"This is similar to looking through a glass window and seeing objects outside, but not being able to manipulate them because of the physical barrier." In sharp contrast, Virtual Finger allows scientists to digitally reach into three-dimensional images of small objects like single cells to access the information they need much more quickly and intuitively. "When you move your cursor along the flat screen of your computer, our software recognizes whether you are pointing to an object that is near, far, or somewhere in between, and allows you to analyze it in depth without having to sift through many two-dimensional images to reach it," explains Peng. Scientists at the Allen Institute are already using Virtual Finger to improve their detection of spikes from individual cells, and to better model the morphological structures of neurons.