Since Robert Hooke’s first description of a cell in Micrographia 350 years ago, microscopy has played an important role in understanding the rules of life.
However, the smallest resolvable feature, the resolution, is restricted by the wave nature of light. This century-old barrier has restricted understanding of cellular functions, interactions and dynamics, particularly at the sub-micron to nanometer scale.
Super-resolution fluorescence microscopy overcomes this fundamental limit, offering up to tenfold improvement in resolution, and allows scientists to visualize the inner workings of cells and biomolecules at unprecedented spatial resolution.
Such resolving capability is impeded, however, when observing inside whole-cell or tissue specimens, such as the ones often analyzed during the studies of the cancer or the brain. Light signals, emitted from molecules inside a specimen, travel through different parts of cell or tissue structures at different speeds and result in aberrations, which will deteriorate the image.
Now, Purdue University researchers have developed a new technology to overcome this challenge.
“Our technology allows us to measure wavefront distortions induced by the specimen, either a cell or a tissue, directly from the signals generated by single molecules – tiny light sources attached to the cellular structures of interest,” said Fang Huang, an assistant professor of biomedical engineering in Purdue’s College of Engineering. “By knowing the distortion induced, we can pinpoint the positions of individual molecules at high precision and accuracy. We obtain thousands to millions of coordinates of individual molecules within a cell or tissue volume and use these coordinates to reveal the nanoscale architectures of specimen constituents.”
The Purdue team’s technology is recently published in Nature Methods.
“During three-dimensional super-resolution imaging, we record thousands to millions of emission patterns of single fluorescent molecules,” said Fan Xu, a postdoctoral associate in Huang’s lab and a co-first author of the publication. “These emission patterns can be regarded as random observations at various axial positions sampled from the underlying 3D point-spread function describing the shapes of these emission patterns at different depths, which we aim to retrieve. Our technology uses two steps: assignment and update, to iteratively retrieve the wavefront distortion and the 3D responses from the recorded single molecule dataset containing emission patterns of molecules at arbitrary locations.”
The Purdue technology allows finding the positions of biomolecules with a precision down to a few nanometers inside whole cells and tissues and therefore, resolving cellular and tissue architectures with high resolution and fidelity.
“This advancement expands the routine applicability of super-resolution microscopy from selected cellular targets near coverslips to intra- and extra-cellular targets deep inside tissues,” said Donghan Ma, a postdoctoral researcher in Huang’s lab and a co-first author of the publication. “This newfound capacity of visualization could allow for better understanding for neurodegenerative diseases such as Alzheimer’s, and many other diseases affecting the brain and various parts inside the body.”
The National Institutes of Health provided major support for the research.
Other members of the research team include Gary Landreth, a professor from Indiana University’s School of Medicine; Sarah Calve, an associate professor of biomedical engineering in Purdue’s College of Engineering (currently an associate professor of mechanical engineering at the University of Colorado Boulder); Peng Yin, a professor from Harvard Medical School; and Alexander Chubykin, an assistant professor of biological sciences at Purdue.
“This technical advancement is startling and will fundamentally change the precision with which we evaluate the pathological features of Alzheimer’s disease,” Landreth said. “We are able to see smaller and smaller objects and their interactions with each other, which helps reveal structure complexities we have not appreciated before.”
Calve said the technology is a step forward in regenerative therapies to help promote repair within the body.
“This development is critical for understanding tissue biology and being able to visualize structural changes,” Calve said.
Chubykin, whose lab focuses on autism and diseases affecting the brain, said the high-resolution imaging technology provides a new method for understanding impairments in the brain.
“This is a tremendous breakthrough in terms of functional and structural analyses,” Chubykin said. “We can see a much more detailed view of the brain and even mark specific neurons with genetic tools for further study.”
The team worked with the Purdue Research Foundation Office of Technology Commercialization to patent the technology. The office recently moved into the Convergence Center for In