James M. Marr , PhD

James joined Leica Microsystems as an advanced workflow specialist covering Leica’s widefield product line in 2019. During his time at the National Institute of Standards and Technology (NIST), James leveraged advanced microscopy to develop and employ robust applications including: automated particle identification and extraction, widefield lifetime measurements, and super-resolution single-molecule imaging.

Images of smooth muscle cells during wound healing. Courtesy L.S. Shankman, Ph.D., University of Virginia.

Studying Wound Healing of Smooth Muscle Cells

This article discusses how wound healing of cultured smooth muscle cells (SMCs) in multiwell plates can be reliably studied over time with less effort using a specially configured Leica inverted…
Whole mouse embryo widefield data and LVCC

Cranial Nerve Development

This article demonstrates how fast, high-contrast imaging of mouse embryos with a THUNDER Imager 3D Cell Culture and Large Volume Computational Clearing (LVCC) enable the investigation of axonal…

The Power of Pairing Adaptive Deconvolution with Computational Clearing

Deconvolution is a computational method used to restore the image of the object that is corrupted by the point spread function (PSF) along with sources of noise. In this technical brief, learn how the…

An Introduction to Computational Clearing

Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise…
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