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Cutting / Scoring.
Creasing Matrix comes in all colors and sizes. Be sure to check before ordering. The matrix needs to match the thickness of the paper or card stock being creased in thousandths of an inch. The basis weight does not relate to thickness.
Note that the popular Perf-a-Base is no longer made and we do not have a replacement product.
We stock Zimmer, Simonds, and other brands of steel rule. Any of their products can be ordered subject to some minimum requirements. Lengths may vary from 30 inch lengths shown--other lengths will be priced accordingly. Quantity discounts on 100, 300 and 500 foot breaks.
Steel rule requires special handling and packaging--orders for one to 4 pieces (can be combined types of rule) will have an additional $4.00 handling fee added to your order. This charge will not show up on the web page order form or acknowledgement that is sent automatically when placing internet orders. On smaller orders of 6 pieces or less, we can cut your steel rule to length at no additional charge. Please tell us in advance what lengths you need.
Channel Creasing Matrix, or Creasing Matrix, is used on platen and cylinder presses to achieve perfect scores. Form inking rollers have to be removed from the press if in place. A strip of the desired length is cut with a sharp knife or sissors, the matrix is pressed down on top of the locked up scoring rule, a paper strip covering an adhesive strip is removed, the press put on impression and run through the impression cycle once, that transfers the matrix to the tympan paper or die cutting plate or jacket, then the plastic locating strip is removed from the matrix leaving behind the matrix. The matrix is then in register for scoring. Matrix must be sized to the thickness of the stock being scored. The thickness can be found in many paper books if a commercial paper, or will have to be measured if an art or hand made paper. The basis weight either in pounds, as in 8o# cover, or gsm, is of no useful value here, but actual measurement of how thick the paper stock is determines the matrix to be used. For example, Crane's 110# Letra is about .019" thick and the 220# Letra is .038. When scoring against the grain, it is usual to use the next larger size matrix. Give us the thickness of the stock in the Special Instructions section of the order blank and we will provide the correct matrix. The matrix has to allow for the width of the 2 pt scoring rule plus twice the thickness of the stock. It is not reusable, so order enough for several jobs if this is a first time order. We can also provide matrix for 2 parallel scores--call for information.
For many printing needs, including measuring the thickness of paper, an inexpensive micrometer is a useful tool to have in the shop.
Matrix is color coded by the manufacturers and the color name is how this particular product is ordered. The following is a list of the most common sizes by color and the thickness of paper being scored.
Gold, paper, under .004" in thickness;
Buff, .006-.010", typically used for index stock;
Lime, .010-.016", with a deeper channel than the White;
Violet, .016-.020", with a slightly wider channel than Yellow;
Mauve, .020-.024", recommended for Crane's Letra 110#; and Blue, .036-.040", if you want to try scoring Crane's 220# Letra.
It is recommended that records be kept indicating which matrix works best for any particular paper stock. Other colors take the range of paper thickness up to .064-.072"
We stock .918", type high rule in the perforating, cutting, and scoring rule. We also stock rule in various other heights, like .895", .909", and .937". Any height we don't have on hand can be readily obtained.
On small orders, we will cut scoring rule to length for you at no additional charge. Allow at least 1/2" on each end of the size of paper being scored to allow the score to go off the sheet. For example, a sheet 5 1/2" wide needs a rule at least 6 1/2" long to easily run on the press. Rule longer than that can also be used. Our cuts are within 1/4" and we will include any scrap pieces that are at least 4" or longer with your order. Matrix can be cut with a sharp knife so we do not precut matrix.


Scoring matrix.
From Bioinformatics.Org Wiki.
The aim of a sequence alignment is to match "the most similar elements" of two sequences. This similarity must be evaluated somehow. For example, consider the following two alignments:
They seem quite similar: both contain one "indel" and one substitution, just at different positions. However, if we think of the letters as amino acid residues rather than elements of strings, alignment (a) is the better one, because isoleucine (I) and leucine (L) are similar sidechains, while tryptophan (W) has a very different structure. This is a physico-chemical measure; we might prefer these days to say that leucine simply substitutes for isoleucine more frequently---without giving an underlying "reason" for this observation.
However we explain it, it is much more likely that a mutation changed I into L and that W was lost, as in (a), than that W changed into L and I was lost. We would expect that a change from I to L would not affect the function as much as a mutation from W to L---but this deserves its own topic.
To quantify the similarity achieved by an alignment, scoring matrices are used: they contain a value for each possible substitution, and the alignment score is the sum of the matrix's entries for each aligned amino acid pair. For gaps (indels), a special gap score is necessary---a very simple one is just to add a constant penalty score for each indel. The optimal alignment is the one which maximizes the alignment score.
PAM matrices are a common family of score matrices. PAM stands for P ercent A ccepted M utations , where "accepted" means that the mutation has been adopted by the sequence in question. Thus, using the PAM 250 scoring matrix means that about 250 mutations per 100 amino acids may have happened, while with PAM 10 only 10 mutations per 100 amino acids are assumed, so that only very similar sequences will reach useful alignment scores.
PAM matrices contain positive and negative values: if the alignment score is greater than zero, the sequences are considered to be related (they are similar with respect to the used scoring matrix), if the score is negative, it is assumed that they are not related. "Relationship" here may refer to evolution as well as functionality of the proteins, and of course the choice of the matrix affects the result, so one has to make an assumption on the similarity of the sequences in order to receive a useful result: rather distant sequences won't produce a good alignment using PAM 10, and the optimal aligment of two very similar sequences with PAM 500 may be less useful than that with PAM 50.
Finally, it should be noted that only some scoring matrices use similarity to evaluate alignments, but others use distance , so the be careful interpreting the results!
After this brief and necessarily superficial overview, you might want to read some more about scoring matrices.




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