Machine Vision and Image Processing for Automated Cell Injection

Abstract

Abstract-This paper presents image processing algorithms systems [13][14][15] and many tele-operated systems [16][17][18], to for cell structure recognition, which provides the desired name just a few. These systems are limited in throughput and deposition destinations without human interference for an reproducibility because operator input (e.g., locating features automated cell injection system. Adherent cells (endothelial and destinations) or operator involvement (e.g., switching cells) are the main focus. The surface and shadow information . . of the nucleoli of endothelial cells is used to extract their locations, which subsequently produce a desired deposition required. A major holdup is the need for operator input and destination inside the nucleus by Delaunay triangulation. 436 oversight in selecting or identifying specific target locations nucleoli were 92% correctly recognized, paving the way for an or/and cells. automated adherent cell injection system to be developed.

Evaluation of Telerobotic Shared Control Strategy for Efficient Single-Cell Manipulation

“…Jang et al [18] reported that the failed recognition rate in the worst case was 47.8% for the detection of the nucleus and the polar body of mouse embryos. In [19] and [20], approximately 15% of the attached cells (CHO-K1 and endothelial cells, respectively) were missed in the visual targeting process.…”

“…1 compares the various cells typically manipulated in many research and clinical fields, showing that the differences in the geometry and the material properties are greater than one-thousand-fold and one-million-fold, respectively. Therefore, there are difficulties in the dexterous manipulation of cells with multiple degrees of freedom (DOF) and in target selection (e.g., cell nucleus or cytoplasm) in visual servoing [17], [18]- [20]. Teleoperated microinjection systems have been developed to provide haptic feedback during manipulation [3], [5], [7], [10], [15], [32]- [46].…”

Computerized control system and interface for flexible micromanipulator control

“…Most automation requires computer vision algorithms to access the position of manipulation targets. Wang et al also developed high-throughput automatic injection systems and demonstrated their use on zebrafish embryos [5][6][7] and contributed image processing techniques for injection automation [8]. Mattos et al developed image processing techniques to improve their automated injection process of blastocyst cells [9][10][11][12][13].…”