Biology subjects

Peltier, S. T.

Publications and source records attributed to Peltier, S. T..

4 recordsLinked to original sources

bioRxiv2025

ColorSTEM: An easy and convenient approach to Multicolor Electron Microscopy of Labeled Biological Specimens

A new method for Multicolor Electron Microscopy (EM) using scanning transmission EM, ColorSTEM has been developed to increase the sensitivity, instrument availability and ease of use compared to that previously developed using electron energy loss spectroscopy and energy filtered transmission EM. Both methods paint multiple subcellular complexes with different colors, enabled by the localized and targeted deposition of diaminobenzidine (DAB) conjugated to different metals, which provides the differentiating signal from each other. With ColorSTEM, elastic scattering that is dependent upon atomic weight (Z-contrast) has far greater signals. Using deposited DAB with copper or gold to label subcellular components, Z-contrast imaging generates a pseudo-elemental map, resulting from differences in the grayscale of the conventional STEM images.

cell biology↗

bioRxiv2024

Scalable electron tomography for connectomics

We demonstrate limited-tilt, serial section electron tomography (ET), which can non-destructively map brain circuits over large 3D volumes and reveal high-resolution, supramolecular details within subvolumes of interest. We show accelerated ET imaging of thick sections (>500 nm) with the capacity to resolve key features of neuronal circuits including chemical synapses, endocytic structures, and gap junctions. Furthermore, we systematically assessed how imaging parameters affect image quality and speed to enable connectomic-scale projects.

neuroscience↗

bioRxiv2020

Elemental Mapping of Labeled Biological Specimens at Intermediate Energy Loss in an Energy-Filtered TEM acquired using a Direct Detection Device

The multi-color or single-color EM that was developed previously, by the pseudo-colored overlay of the core-loss or high-loss EFTEM elemental map/s of the lanthanide onto the conventional image, the lanthanide chelates conjugated to diaminobenzidine being sequentially deposited as a result of selective oxidization by orthogonal photosensitizers / peroxidases. The synthesis of the new second generation lanthanide DABs, which contains 4 times more lanthanide per DAB, gives significant signal amplification and enabling collection of elemental maps at much lower energy-loss regions more favorable. Under the same experimental conditions, acquiring EFTEM elemental maps for the lanthanides at the lower energy-loss of N4,5 edge instead of the core-loss M4,5 edge, provides ~4x increase in signal-to-noise and ~2x increase in resolution. The higher signal at the N4,5 edge, also allows for more sophisticated technique of EFTEM spectrum Image for the acquisition of elemental maps with very high signal fidelity.

systems biology↗

bioRxiv2018

CDeep3M - Plug-and-Play cloud based deep learning for image segmentation of light, electron and X-ray microscopy

As biological imaging datasets increase in size, deep neural networks are considered vital tools for efficient image segmentation. While a number of different network architectures have been developed for segmenting even the most challenging biological images, community access is still limited by the difficulty of setting up complex computational environments and processing pipelines, and the availability of compute resources. Here, we address these bottlenecks, providing a ready-to-use image segmentation solution for any lab, with a pre-configured, publicly available, cloud-based deep convolutional neural network on Amazon Web Services (AWS). We provide simple instructions for training and applying CDeep3M for segmentation of large and complex 2D and 3D microscopy datasets of diverse biomedical imaging modalities.

cell biology↗