Publications by authors named "Maijia Liao"

Article Synopsis
  • Branching enables neurons to connect with many other neurons, crucial for the complex networks in nervous systems.
  • The geometric features of neuronal shapes, like branch lengths and diameters, are designed to enhance signaling efficiency while minimizing the resources needed for development.
  • Our findings indicate that neuron structures exhibit scale-invariant characteristics, with variations seen across different types of cells, and that the way branches grow impacts their functional performance.
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Quantification of molecular numbers and concentrations in living cells is critical for testing models of complex biological phenomena. Counting molecules in cells requires estimation of the fluorescence intensity of single molecules, which is generally limited to imaging near cell surfaces, in isolated cells, or where motions are diffusive. To circumvent this difficulty, we have devised a calibration technique for spinning-disk confocal microscopy, commonly used for imaging in tissues, that uses single-step bleaching kinetics to estimate the single-fluorophore intensity.

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The systematic variation of diameters in branched networks has tantalized biologists since the discovery of da Vinci's rule for trees. Da Vinci's rule can be formulated as a power law with exponent two: The square of the mother branch's diameter is equal to the sum of the squares of those of the daughters. Power laws, with different exponents, have been proposed for branching in circulatory systems (Murray's law with exponent 3) and in neurons (Rall's law with exponent 3/2).

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