Innate NK Summit

Are you attending the digital Innate Killer Summit 2020?

Find out more about Ovizio’s holographic microscopy by visiting our booth in the virtual demo area or take a look at our joint poster with Medigen Biotechnology Corp: “Detecting morphology changes in activated NK cells using holographic fingerprinting”.

If you’re interested in more information, you can arrange a one-to-one meeting with our CEO, Emilie VIEY, PhD.

To register or learn more about the event, please visit: innate-killer.com


BIOASIA

https://www.bio.org/events/bio-asia-international-conference

 

 


BIOKOREA 2020

Discover the rapid changes in bio industry in the Age of Data Science at e-Conference.


ISCT 2020

Accelerating Cell and Gene Therapy Adoption: From Proof of Concept to Standard of Care


ASGCT 2020 23rd edition

After careful consideration of the ongoing spread of COVID-19 overseas and in the United States, the American Society of Gene & Cell Therapy (ASGCT) Board of Directors has decided not to conduct ASGCT’s 2020 Annual Meeting in Boston, Massachusetts scheduled for May 2020.

ASGCT has come to the conclusion that it is only possible to fulfill the Society’s mission by hosting the 23rd Annual Meeting virtually and as-scheduled.

It is our hope that the ability to share innovative science, connect virtually with peers from around the world, and learn from one another will bring forth a sense of renewed optimism in light of the continuing and ongoing challenges ahead.

ASGCT has been monitoring the COVID-19 situation with the health, safety, and well-being of our guests, employees, contractors, speakers, and attendees in mind. The ASGCT Board arrived at this difficult decision after consulting with speakers, vendors, exhibitors, and other Meeting participants, and gathering information from the Centers for Disease Control and Prevention, World Health Organization, Massachusetts Governor, Boston Mayor, and other health authorities. Ultimately, the global nature of our Meeting, rapidly escalating health concerns regarding COVID-19, ongoing travel and other restrictions, and Governor Baker’s recent directive instructing those traveling to Massachusetts to self-quarantine for 14 days, made it impossible for us to hold the Meeting at this time.

We urge those who were planning to attend the Meeting to expedite flight and hotel cancellations. We also ask for your patience as we work diligently to address questions and provide additional information to our participants and guests.

If you have any questions regarding your registration or involvement in the 23rd Annual Meeting, please do not hesitate to email us at info@asgct.org and a staff member will help you directly.


Holographic Imaging of Insect Cell Cultures: Online Non-Invasive Monitoring of Adeno-Associated Virus Production and Cell Concentration

Animal Cell Technology Unit, iBET, Instituto de Biologia Experimental e Tecnológica
Daniel A. M. Pais , Paulo R. S. Galrão, Anastasiya Kryzhanska, Jérémie Barbau, Inês A. Isidro and Paula M. Alves*

This work shows that DHM can be implemented for online monitoring of Sf9 concentration and viability, as well as product titer (AAV) or culture progression in lytic systems. Therefore, it is a valuable tool to support the time of harvest decision and establishing controlled feeding strategies.

The insect cell-baculovirus vector system has become one of the favorite platforms for the expression of viral vectors for vaccination and gene therapy purposes. Because it is a lytic system, it is essential to balance maximum recombinant product expression with harvest time, minimizing product exposure to detrimental proteases. With this in mind, new bioprocess monitoring solutions are needed to accurately estimate culture progression. Herein, we used online digital holographic microscopy (DHM) to monitor bioreactor cultures of Sf9 insect cells

The insect cell-baculovirus vector system has become one of the favorite platforms for the expression of viral vectors for vaccination and gene therapy purposes. As it is a lytic system, it is essential to balance maximum recombinant product expression with harvest time, minimizing product exposure to detrimental proteases. With this purpose, new bioprocess monitoring solutions are needed to accurately estimate culture progression. Herein, we used online digital holographic microscopy (DHM) to monitor bioreactor cultures of Sf9 insect cells. Batches of baculovirus-infected Sf9 cells producing recombinant adeno-associated virus (AAV) and non-infected cells were used to evaluate DHM prediction capabilities for viable cell concentration, culture viability and AAV titer. Over 30 cell-related optical attributes were quantified using DHM, followed by a forward stepwise regression to select the most significant (p < 0.05) parameters for each variable. We then applied multiple linear regression to obtain models which were able to predict culture variables with root mean squared errors (RMSE) of 7 × 105 cells/mL, 3% for cell viability and 2 × 103 AAV/cell for 3-fold cross-validation. Overall, this work shows that DHM can be implemented for online monitoring of Sf9 concentration and viability, also permitting to monitor product titer, namely AAV, or culture progression in lytic systems, making it a valuable tool to support the time of harvest decision and for the establishment of controlled feeding strategies.


Ovizio partners with Biocommander to expand and commercialize the iLine F microscope in Greater China

Ovizio Imaging Systems, an innovative microscopy company specializing in automated cell culture monitoring systems, together with Biocommander International, the cell & gene therapy solutions provider in Greater China, today announced that they will enter into a distribution agreement for the supply of iLine F microscopes in Greater China.


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SARS-CoV-2 update

Due to the different measures taken by governments all over the world all conferences have been cancelled and or rescheduled to a later date.

We will keep you updated of our new conference schedule as soon as possible.

Stay home and stay healthy


Machine Learning explained

Find out how our flexible machine learning software can be tailored to suit your unique cell culture requirements. OsOne can differentiate between cell types or populations and powers all of our digital holographic microscopes.


Download the infographic here