April 10, 2019 to April 11, 2019
Registration occurs on a first-come, first-served basis. The deadline for registration is one week before the first day of the course. If you are unable to register before the deadline, please email: firstname.lastname@example.org or call 301-496-7977 for space availability.
NIH employees paying with the signed vendor copy of the SF-182 form, please email: email@example.com
Bioimaging studies are rapidly becoming more quantitative due to enhanced imaging technologies, improved analytical and computational tools, as well as increasingly more stringent scientific scrutiny for accuracy and reproducibility. However, there is a paucity of systematic and introductory surveys easily accessible to biologists when faced with a plethora of technical issues in digital image processing and analyses. The lack of clarity on this issue, compounded by debate over the methods abundant in the niche literature, frequently leads to further confusion for those whose primary expertise is not in digital image processing. Unfortunately, erroneous or misguided application of methods in biological imaging analyses is not uncommon, and this can lead to artificial inflation or suppression of biological significance – often unintentionally. The goal of this two-day hands-on workshop is to survey the fundamentals of how image pixel data can be used to extract biologically meaningful information. Participants will install necessary open source software on their own laptops (FAES can provide laptops if necessary) and will be given ample opportunity to work on actual images for truly hands-on learning experience.
Specifically geared toward life scientists, this intensive hands-on workshop will survey basic and advanced topics in image processing and analysis.
Image Processing: Fundamentals of digital images, the arts and science behind image processing and the ethics of knowing when not to alter an image, morphometry and object segmentation, Fourier transformation in image processing, the concept of color display and how color affects data interpretation.
Image Analysis: Volumetric and intensity measurement, co-localization analysis, the meaning and application of various co-localization indices, quantitative ratiometric image analysis, particle tracking, analysis of protein dynamics and movement.
This is an intensive hands-on workshop. Participants will bring their own laptop (FAES can provide laptops if necessary). Images and plugins used in class will be shared via DropBox prior to class.
Related BioTech Courses
BioTech 35:Immunofluorescence & Confocal Microscopy
BioTech 53:Super Resolution Microscopy
Contains all notes, protocols, and reference material needed. No additional books are required.
Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours. Upon completion of the course each participant will receive a certificate, showing completion of the workshop and 1.4 CEUs.
100% tuition refund or 100% full workshop credit is available for registrations cancelled 14 or more days prior to the start of the workshop.
50% tuition refund or 100% full workshop credit is available for registrations cancelled between 4 to 13 days prior to the start of the workshop.
0% refund, 100% full workshop credit is available for registrations cancelled 3 days or less prior to the start of the workshop.
All cancellations must be received in writing via email to Ms. Carline Coote at firstname.lastname@example.org.
Cancellations received after hours are time marked for the following day.
In regards to a full or partial refund or a full workshop credit, you must indicate which option you are selecting at the time of your written cancellation.
All refund payments will be processed by the start of the initial workshop
A special rate has been made available to all BioTech attendees. This includes non-smoking, free internet, free breakfast, and free shuttle service to the NIH. Hotels are within walking distance of the training facility. Reservations can be made online, see below.