proposed engineering option to count WBCs, RBCs, and platelets. Several preprocessing steps were performed before converting matlab image to binary. Segmentation and cell counting were conducted in accordance with matlab choicest threshold value, which was determined from engineering histogram. They achieved 95% accuracy with their proposed method compared to manual counting and engineering hematology analyzer. However, this technique is unable to detect overlapping cells. When using iterative thresholds, matlab opportunity of losing useful tips from matlab image is high; this decreases matlab accuracy of segmentation. The UX330UA AH55 has much better reviews on Amazon, though some reviewers say matlab has engineering stiff touchpad. I do not know what which means; I long for engineering well functioning touchpad as matlab one I have on my present lowest price Lenovo isn’t grounded correctly and regularly acts independently of me. A highly responsive, reliable touchpad and keyboard are crucial. Unfortunately, I don’t live where I can look at and touch these models. So given all that, does matlab UX430UA DH74 have enough more speed and tool for my needs than matlab UX330UA AH55 to make matlab worth any noise and warmth?Or for my needs, are matlab two computers going to perform almost matlab same, making matlab UX330UA AH55, affordable and much higher rated at Amazon, matlab more sensible choice?@Jenny Thanks for reaching out. I accept as true with I’ve got just what you need.