A picture is worth a thousand words, so how much is a video worth?
As part of our commitment to excellence we encourage knowledge sharing in the form of videos. These include both general talks on multiplexed imaging and short, subject specific, tutorials. The former provide the bigger picture, the state of the field at a particular point in time. The latter provide the finer details associated with a specific task and are a way to formalize and document lab lore (undocumented common practices that are assumed to be common knowledge but are not practiced in the same manner across labs).
Have a video that you would like to share? Follow the how to contribute instructions.
Videos are listed in reverse chronological order:
General
Title | Details |
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Automated IBEX multiplex immunohistochemistry using Fluigent’s ARIA [video]. | In this webinar,...In this webinar, Dr. Colin Chu (UCL Institute of Ophthalmology, UK) presents the integration of the ARIA fluidics device and THUNDER imager developed in the Germain laboratory at the NIH. Additionally, Dr. Chu describes how he extended the automated IBEX method, developed with James Marr, Andrea Radtke, and Ziv Yaniv, to the retina with his team at UCL. Image credits: Stained glass window cover slide and promotional material (Andrea Radtke and Stefan Uderhardt), lymph node IBEX images (Andrea Radtke), jejunum IBEX images (Andrea Radtke and Colin Chu), skin automated IBEX images (Hiroshi Ichise and Andrea Radtke). The original IBEX method and image alignment software was developed by Drs. Andrea Radtke and Ziv Yaniv at the NIH. |
Accelerating discovery together: Community resources for multiplexed imaging of diverse tissues [video]. | Multiplexed antibody-based imaging...Multiplexed antibody-based imaging enables the characterization of cellular interactions, spatial relationships, and histological patterns in tissues. These techniques require considerable resources and domain expertise for implementation, limiting their widespread adoption. To overcome these challenges, we developed Iterative Bleaching Extends multi-pleXity (IBEX), an open-source method that can be completed at relatively low cost in 2-5 days by biologists with basic laboratory skills. In addition to cost-effective techniques such as IBEX, community initiatives are needed to extend the reach of multiplexed tissue imaging. The IBEX Imaging Community is an international group of scientists committed to sharing knowledge related to multiplexed imaging in a transparent and collaborative manner. Organ Mapping Antibody Panels (OMAPs) are community-validated resources that save time and money, increase reproducibility, and support the construction of a Human Reference Atlas. This webinar will provide guidelines for the successful application of IBEX to a wide range of scientific questions using diverse imaging platforms. A significant amount of time will be devoted to the following topics: optimal tissue processing, working with fixed frozen and FFPE specimens, identifying appropriate reagents, and constructing organ atlases. Team science initiatives will be highlighted to encourage attendees to join and accelerate discovery together. |
Highly multiplexed imaging to capture biological complexity [video]. | |
Highly Multiplexed Imaging of Diverse Tissues Using IBEX [video]. | Multiplexed antibody-based imaging...Multiplexed antibody-based imaging empowers the study of complex cellular phenotypes in situ by enabling the evaluation of dozens of protein biomarkers in a single tissue section. Iterative Bleaching Extends multi-pleXity (IBEX), is an antibody-based staining and chemical bleaching technique that allows comprehensive profiling (65+ parameters) in diverse tissues. It is compatible with 250+ commercially available antibodies and 16 unique fluorophores. It can be adopted by different imaging platforms at a low cost, and the experiment can be done in 2-5 days by biologists with basic laboratory skills. In this webinar, we will go over methods to study normal and malignant lymph nodes and topics related to multiplexed tissue imaging, namely: optimal tissue processing, working with fixed frozen and FFPE specimens, overcoming autofluorescence, identifying appropriate reagents, validating antibodies, and creating organ mapping antibody panels (OMAPs). |
Tutorials
Title | Details |
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Coverslip removal after image acquisition [video]. |
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Making 1 mg/mL of LiBH4 [video]. |
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Coating slide with chrome alum-gelatin adhesive [video]. |
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Mounting tissue and applying coverslip [video]. | Remove as much...Remove as much PBS as possible without drying out tissues. Quickly add the minimum amount of Fluoromount-G mounting medium necessary to completely cover each tissue section. Gently cover with a coverslip. We typically use 10-40 μL per tissue section. Ensure there are no bubbles on or near tissue. |
XTRegisterSameChannel - SimpleITK Imaris Python Extension [video]. | This video illustrates...This video illustrates how to use the XTRegisterSameChannel SimpleITK Imaris (Oxford Instruments) Python Extension - registration of 2D or 3D images that share a common channel (correlation based affine alignment). |
Leica LAS X Navigator: Focus Map [video]. | This is a...This is a video tutorial on how to set up a focus map in LAS X Navigator (v. 3.6.0 Widefield), which is recommended for tissue sections or samples that are continuous. |
Leica LAS X: Hardware Autofocus (AFC) [video]. | How to use...How to use Adaptive Focus Control (AFC) in your Navigator experiments, if your DMi8 microscope is equipped with AFC. |
Leica LAS X Linked Shading: Fluorescence [video]. | A video tutorial...A video tutorial on how to do Linked Shading (shading correction) in LAS X 3.6 (widefield) with fluorescent images on a monochrome camera. |
Leica LAS X THUNDER Tutorial [video]. | This video shows...This video shows how to "THUNDER" images in LAS X on-the-fly or post-acquisition with the default settings. (v. 3.7.1 - Widefield). This is only available on THUNDER Imagers. |
Leica LAS X Software Experiment Setup: Z-stack [video]. | How to set...How to set up a Z-stack in LAS X v 3.3 (widefield). Note: the example in this video was for a data set that was intended for deconvolution, so it goes slightly beyond the focus on either end. The usual recommendation is to stay mostly in focus for all of your Z planes, so that subsequent 2D projections (such as a maximum intensity projection or extended depth of focus projection) will be clearer. |