Dear EMBRIO Community,

 

Vote for your selections in the 2025 EMBRIO Best Scientific Figure or Video (view the webpage)

It's time to vote on the best scientific figure or video from member submissions. The webpage link above contains the instructions and PowerPoint file of the submissions.

Thanks to the graduate students, postdocs, and research scientists who have developed these figures and videos and submitted them for consideration. Voting will be open through next Thursday, September 4th.

Division	Name	ID	Slide#	Thrust	Type
II	Nilay Kumar/Linlin Li/Chang Ding/David Gazzo/Naomi Ross/Maria Unger	PD1	2	CORE + 2 + 3	Figure
II	Sharon Minsuk	PD2	3	CORE + 3	Video
II	Maria Unger	PD3	4	2	Figure
I	Bakary Samasa	G1	5	3	Video
I	David Gazzo	G2	6	2	Figure
I	Agnes Doszpoly	G3	7	1	Figure
I	Boyu Jiang	G4	8	CORE	Figure

 

 

EMBRIO All-Hands "Lab Meeting" 

Session II of The Biological Modeling Workflow: A Brief Introduction

Monday, September 8th 3-4pm EDT

Zoom link for the semester: https://purdue-edu.zoom.us/j/92061591849?pwd=wclgpzLpzWKsZ9M2XYwM7Kbumaabr3.1&from=addon   

 

Hayden Fennell, Postdoc Fellow at IU in Biocomplexity Institute of the Glazier lab, will continue with session II of The Biological Modeling Workflow: A Brief Introduction. All who are interested are encouraged to check out the modeling template and other resources from Session I on our Box account (EMBRIO Institute > All-Hands Meetings Recordings > 2025). If you would like to get input and help in thinking through your biological problem of interest, please reach out to Hayden (haydenfennell@gmail.com) and James Glazier (jaglazier@gmail.com). 

Description:

Computational modeling is becoming more and more ubiquitous in essentially all fields of scientific study. Biology is no exception, although the usefulness of computation in biology can sometimes be less obvious, given the methodological "distance" from practices in wet-lab experimentation. This seminar will discuss the benefits and challenges of computational modeling in biology, as well as provide a computational modeling workflow that can be applied to a wide variety of biological problems. Session II will focus on examples to illustrate the workflow in practice, and a template has been provided for participants to brainstorm how to apply the workflow to their own biological problems of interest. View the materials on Box.

 

 

The second part of the lab meeting will offer continued Q&A on the main topic, with potential breakout rooms for small groups wanting to get started on their own modeling template.  If you would like to get input and help in thinking through your biological problem of interest before Sept. 8th, please reach out to Hayden Fennell (haydenfennell@gmail.com) and James Glazier (jaglazier@gmail.com). 

 

Check Out CalciumInsights Application

 

EMBRIO members at University of Puerto Rico at Mayagüez, in collaboration with labs in the Institute, developed CalciumInsights, an interactive application built in R that is designed to analyze tissue-agnostic calcium traces. The tool is now available on the Institute's central GitHub (of which we'll be forking more projects and materials soon): https://github.com/orgs/EMBRIOInstitute/repositories 

For details, please contact Deiver Suarez (deiver.suarez@upr.edu ), Mauricio Cabrerra (mauricio.cabrera1@upr.edu ) and Clara Isaza (clara.isaza@upr.edu ). 

EMBRIO Labs: Get Your Experimental Data Associated with EMBRIO Publications Ready and Connected with our Data Management System

We have an obligation to make our published data accessible to the broader scientific community. With the fall semester starting up again, now is a great opportunity to begin using OMERO to store your experimental data taken at the microscope. You can store your data with detailed experimental text to keep your images organized with context. This will benefit your science because:

 

Thanks to the labs who are already adopting OMERO into their workflow. We encourage everyone in EMBRIO who performs microscopy experiments to take advantage of this new tool. We hope it will improve your workflow and make the management of your microscopy data easier.

 

For more information and help getting started, please contact Scott Bolton at boltons@purdue.edu.