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1. Turn on the computer
2. Turn on the monitor
3. Log in Windows using your UdM credentials
4. Start-up NIS-Elements Offline Deconvolution

1. Save your data
2. Close NIS-Elements
3. Transfer your data to the D: drive (Data Storage) or to your external drive and delete it from the local C: drive

• Files can be saved temporarily (during acquisition) on the local C: drive (desktop)
• At the end of each session, copy your data to your external drive and delete it from the local C: drive
• You can store your files on the D: drive (Data Storage). If you do, please create a folder per laboratory using the principal investigator last name. Within, create one folder per user (Firstname_Lastname).

• Bring a network cable to connect directly to Ti2 microscope workstation

• Windows 10 UdeM Image installation
• Change the 2nd network adapter configuration with fix IP to enable for computer to computer communication
• Change sharing policies of public document folder

Deconvolution processing not giving expected results...

This usually happens when the image files do not contain the correct metadata.

• Make sure to save the files with all available metadata on the microscope used for the acquisition.
  This usually requires to save the files in the software proprietary format (.nd for NIS-Elements and Metamorph, .czi for Zen,...)
• You can always add the correct calibration values after acquisition (pixel size in XY and Z, wavelength, Z-step)

Can I use this workstation remotely?

• Yes and No. You can't start the software remotely but you can start the software locally and then connect remotely to make sure all is running smoothly. To do so you need to request permission to the platform manager.

Which deconvolution method should I use?

• There is no single answer
• If you have a single plan you should choose 2D-deconvolution
• If you have a Z-stack you should pick 3D-deconvolution.
• If you want to have a quick view of the result you should use Fast Deconvolution.
• Quality wise, the best results are acheived using blind and Landweber. However these methods required a long processing time (several hours for big files)
• For more information about deconvolution method refer to paragraph 1.2.2 Choosing the deconvolution Method of the NIS_Offline Deconvolution_Manual.pdf