Skip to main content

Gray Level and DMA Estimation in Monocomponent Development Systems

Buy Article:

$20.00 plus tax (Refund Policy)


In our companion paper, we introduced a novel field calculation technique for obtaining the electric field in the developer gap. In this paper, we demonstrate how normal and horizontal fields obtained from this method can be used to estimate gray level and developed mass per unit area (DMA) of a given pattern. The estimation procedure is phenomenological, but it exploits the physics governing toner movement in the development nip to account for observed feature size dependence of toner development. Estimated DMA specifies developed mass at each point in the calculation grid (3 μm cell). Thus, for any input bitmap, DMA at the subpixel level can be accurately predicted over the entire image. Using two different print engines and various bitmaps, we present simulation results and measurements, which are in good agreement. DMA measurements are collected from measured average toner mass data and scanned images using video microscopy. We calibrated microscopic grayscale data to the toner mass measurements, so that DMA can be obtained directly from scanned gray values.

Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

  • Information for Authors
  • Submit a Paper
  • Subscribe to this Title
  • Membership Information
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more