April 11 / 2019

The Heit lab is excited to share our 3D printed “spaceships” with the microscopy community. These are live cell imaging chambers (Leiden chambers) which hold an 18 mm circular coverslip plus enough media to keep cells alive over 24 hours of imaging. These can be easily modified with free CAD software to add features such as profusion ports and electrodes. But importantly, they are very cheap – a few dollars (that is the total cost – including magnets, o-rings and 3D printer filament) versus several hundred dollars for their commercial equivalents.

The enclosed .ZIP file contains a readme file with all of the information required to print these chambers (including a complete list of non-3D printed parts), .STL files for two different size chambers (35 mm and 42 mm) and a .STL file for tools to aid in the assembly of the chambers. The only other item you will need is access to a 3D printer (we use the Prusa MK3S).

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Thank you NVIDIA
January 28 / 2019

We would like to thank NVIDIA and their GPU Grant Program for awarding the Heit lab a free GPU for our computational work. This program furnishes academic labs with free GPU’s, for use in developing new analytical frameworks and to enable data analysis. This NVIDIA GPU will allow the Heit lab to continue our development of the next generation of image analysis routines, building upon or MIiSR and SPT frameworks. In addition, this GPU will increase our capacity to engage in SRRF super-resolution imaging.

Happy Holidays from the Heit Lab
December 14 / 2018

Merry Christmas!

SRRF Imaging
November 15 / 2018

One of the best parts of science is bringing new techniques and technologies into your lab. Our newest technique is SRRF imaging, which can more than double the resolution of nearly any widefield microscope, and can even be employed on living samples. The improvement this technology adds can be seen in the images of bovine aortic epithelial cells on the left, which have been stained for actin (yellow), DNA (cyan) and mitochondria (magenta).

SRRF imaging uses a specialised deconvolution approach which relies on the mapping of radial symmetry to resolve the positions of  fluorophores with high precision. This process is repeated over a number of frames (10-100), with the convergence of signals between images used to refine fluorophore positions and non-convergence used to remove noise. The result is a dramatic improvement in both resolution and signal-to-noise ratios.

Original Image