1. A method of analyzing histology slides of a delivered human placenta, the method comprising: obtaining digital images of the histology slides of a placental sample of said delivered human placenta; and performing an analysis on the digital images, wherein a mathematical algorithm is applied to the digital image, and wherein results of the mathematical algorithm are used to assess future health risks to an infant, child, or adult.
2. The method of claim 1 wherein the mathematical algorithms are selected from the group consisting of spatial fuzzy c-means algorithms, segmentation algorithms, boundary finding algorithms, counting algorithms, length measuring algorithms, branching algorithms, angle measuring algorithms, and color discriminating algorithms.
3. The method of claim 1 wherein the mathematical algorithm operates on at least one histological parameter selected the group consisting of neutrophil count, blood vessel area maximum, blood vessel area mean, blood vessel area minimum, branched villi area maximum, branched villi area mean, branched villi area minimum, large villi area maximum, large villi area mean, large villi area minimum, long villi area maximum, long villi area mean, long villi area minimum, nutrition exchange vessel area maximum, nutrition exchange vessel area mean, nutrition exchange vessel area minimum, small villi area maximum, small villi area mean, small villi area minimum, capillary at border area maximum, capillary at border area mean, and capillary at border area minimum.
4. The method of claim 1 wherein the process of performing the analysis of the digital image and the application of the mathematical algorithms is automated.
5. The method of claim 1, further comprising selecting said placental sample of said delivered human placenta to be analyzed.
6. The method of claim 1, wherein the health risks comprise risks of at least one of autism, cerebral palsy, and diabetes.
7. A method of analyzing a placental vascular or villus branching structure of a delivered human placenta, the method comprising: obtaining a digital image of a placental sample of said delivered human placenta, and running a cognitive network analysis on the digital image of the placental sample to analyze the placental vascular or villus branching structure, wherein the analysis produces factors, and correlating sample factors with factors produced from analysis of the placental standards, wherein results of said correlating are used to assess future health risks to an infant, child, or adult.
8. The method of claim 7 wherein the factors are derived from at least one histological parameter selected the group consisting of blood vessel area maximum, blood vessel area mean, blood vessel area minimum, branched villi area maximum, branched villi area mean, branched villi area minimum, large viii area maximum, large villi area mean, large villi area minimum, long villi area maximum, long villi area mean, long villi area minimum, nutrition exchange vessel area maximum, nutrition exchange vessel area mean, nutrition exchange vessel area minimum, small villi area maximum, small villi area mean, small villi area minimum, capillary at border area maximum, capillary at border area mean, and capillary at border area minimum.
9. The method of claim 7, further comprising selecting a set of placental standards, and selecting said placental sample to be analyzed.
10. The method of claim 7, wherein the analysis is automated.
11. The method of claim 7, wherein the health risks comprise risks of at least one of autism, cerebral palsy, and diabetes.
12. A method of analyzing gross placental shape of a delivered human placenta comprising: obtaining a digital image of the placental sample of said delivered human placenta; and performing an analysis on the digital image to analyze the gross placental shape, wherein a mathematical algorithm is applied to the digital image, and wherein the results of the mathematical algorithm are used to assess future health risks to an infant, child, or adult.
13. The method of claim 12 wherein the mathematical algorithms are selected from the group consisting of segmentation algorithms, boundary finding algorithms, counting algorithms, length measuring algorithms, branching algorithms, angle measuring algorithms, and color discriminating algorithms.
14. The method of claim 12, further comprising selecting said placental sample of said delivered human placenta to be analyzed.
15. The method of claim 12, wherein the analysis and application of the mathematical algorithm are automated.
16. The method of claim 12, wherein the health risks comprise risks of at least one of autism, cerebral palsy, and diabetes.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1-11. (canceled)
12. A frame for receiving one or more elastic modules forming cable entries, pipe penetrations, wherein the frame has a form automatically compressing the one or more modules at mounting of the frame to an appliance and the frame has conical walls, forming a central opening.
13. The frame of claim 12, wherein the frame has a contact part to be attached to the appliance, and the frame is bevelled in the transition between the conical walls and the contact part.
14. The frame of claim 13, wherein the conical walls extend from the contact part; the distance between the walls decreases directed away from the contact part; and a stop edge is placed encircling the central opening at an end furthest from the contact part, wherein said stop edge has a dimension hindering the one or more modules to pass the stop edge.
15. The frame of claim 13, wherein inner dimensions of the central opening of the frame is smaller than total outer dimensions of all the modules to be received inside the central opening of the frame and the height of the modules is bigger than the height of the walls forming the central opening of the frame.
16. The frame of claim 12, wherein four modules are received in the frame.
17. The frame of claim 12, wherein nine modules are received in the frame.
18. The frame of claim 12, wherein each module is adaptable to a cable, pipe to be received.
19. The frame of claim 13, wherein the contact part forms a flange having a protruding part on one side to be received in a recess of the opposite side of the flange of a possible adjacent frame and a seal is integrated with the frame going along the circumference of the contact part.
20. The frame of claim 12, wherein the appliance is an electrical cabinet.
21. A method of compressing one or more elastic modules for cable entries, pipe penetrations inside a frame, wherein dimensions of the frame and the modules to be received inside the frame are such that the modules are automatically compressed when received inside the frame, wherein the modules are further compressed at mounting to an appliance, and the modules protrude from the frame before mounting.