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jos__garese

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Posts posted by jos__garese

  1. <p>On this subject, there is a lot of (too much and a bit confusing) info on photonet and elsewhere in the web, and some happens to be contradictory. I am just revising and updating my processing methods in black and white, prior to getting my hands on quite a bit of film that I have shot recently. I intend to obtain results as uniform as possible.<br>

    I wanna double-check with you guys if the info I'm using and my maths are correct.<br>

    First of all, I shoot Ilford film in the following sizes: 120, 220, 4x5 and 8x10. Second, I use a cpp2 jobo processor with 4 tanks: a 2551 tank (holds 3 medium format reels), a 2563 tank (holds 4 medium format reels), a 3010 expert drum (holds up to ten 4x5 sheet negs) and a 3005 expert drum (holds up to five 8x10 sheet negs)<br>

    When developing one has to take into account three limits:<br>

    1) a minimum amount of chemistry quantity that allows the film to be uniformly covered during rotation (this quantity doesn't depend on the dilution we use, it's sheer quantity of liquid necessary to wet the negs in an even way, and each tank has its own minimum provided by the manufacturer).<br>

    2) a minimum amount of stock chemistry that allows the developer not to be exhausted during process.<br>

    3) a maximum amount of liquid in the tank so that the jobo motor is not overkilled.<br>

    The easiest limit is number 3). There seems to be a consensus that more than 1 litre, the jobo motor cannot handle. So anything that we put into the tank has to come between the highest of limits 1) and 2) and one litre.<br>

    The exhaustion of the developer depends on the total area of neg to be developed. An 8x10 neg = four 4x5 negs = one 120 roll = half 220 roll = one 35mm roll = 80 square inches of film.<br>

    So how much does 80 square inch of film need of d76 stock solution to avoid exhaustion (that is, to have a successful, even development, all the way through during the time we are bathing the film with it). Apparently (please correct me if I'm wrong), for each 80 square inches of film we need 237ml of stock solution of d76. There is some problem with this figure... First of all, consider the 3005 expert drum. It has five slots for film, so that means that if I want to develop 5 sheets, I will need 1185 ml of stock solution: way above the 1 litre limitation (limit number 3). Does this mean that I cannot use the five slots, that the most I can develop is four negs (4x237 = 948 ml)??? Why would Jobo do that? But should I decide to use d76 in dilution 1:1 the problem becomes more acute. Exactly twice acute. Because I will only be able to develop 2 negs (2x237 = 474 ml of stock, the rest will be 474 ml of water). Makes not a lot of sense...<br>

    Another problem will occur when I try to develop four 220 rolls on the 4 reel tank (I know, 220 film in black and white has been discontinued, but I still have a few rolls in my fridge). Let's go to the maths: one 220 film will be the same as two 8x10 sheets in terms of film area. So I will need 474 ml of stock solution per roll. That means that if I wanna develop four rolls, I will need 474ml x 4 = 1896 ml of stock solution in the tank. Almost twice the amount and resulting weight that jobo can tolerate. And I am talking of undiluted chemistry, full power. Where am I wrong along this process of thought? Is the quantity 237ml per square inch wrong, did I check the wrong source? Please help!</p>

    <p> </p>

  2. I am planning some night shooting and did my homework before posting a question on how to calculate reciprocity failure for hp5: I

    searched the photo.net and the apug forums. However, there were two answers:

     

    Some people recommend Ilford's formula: http://www.photo.net/film-and-processing-forum/00JC3f?start=10

    Other people recommend Geiner's formula: http://www.apug.org/forums/forum37/95877-reciprocity-failure-correction-gadget-gainers-formula-05-efke-pl100m.html

     

    Apparently, Ilford's formula, and the chart they provide in the data sheets, are old and have not been corrected for contemporary Ilford

    films. Is that so?

     

    The resulting adjustment recommendations vary a lot. For example, if my metered time is 30 seconds I would have to expose for:

     

    According to Ilford: 30 ^ 1.48 = 154 seconds

    According to Geiner: 30 + 0.101 * (30 ^ 1.62) = 55 seconds

     

    Those figures are WAY apart.

    Of course, I have to shoot and test and blah, blah, blah. And I will. But the whole purpose of this is going out with some point of

    departure. Forgive my poor maths (and do point out where I went wrong should that be the case)

     

    Opinions?

  3. <p>Gary, about the focusing rail, yes it would be nice, and I wanted one when I decided to do some macro stuff on the studio some years ago, but too pricey. Better to move the tripod back and forth, it's a bit awkward at first but you will get used. I worked with a 4x5 as well. Had a 210 lens but not enough bellows extension. So I worked with my two other lenses: a 150mm and a (believe it or not) 90mm! This last one really worked for tiny subjects, though you have to bring the subject REALLY close to the lens. Bellows extension for this lens was sometimes 27cm, which meant that I had to correct exposure three stops. Even with this lens I could work moving the tripod back and forth, looking through the groundglass, under the cape. Of course, extremely tiny movements (awkward because of the rubber ends of the tripod legs) meant big differences in magnification, but when you start doing it you will get used. And for a 150mm or 210mm lens it will be easier.</p>
  4. <p>Thanks for that Rob. I searched and found this thread in apug: <a href="http://www.apug.org/forums/forum40/103961-forgot-prewash-c41-problem.html">link</a><br>

    It isn't a debate that is completely settled. What I do know is that my negs are looking better now, and will require less photoshop. Perhaps the ambiguity of the argument for or against can be summarized in these two messages posted by the same guy some months apart in the apug conversation mentioned above.</p>

    <p>First message, April 2012: "Prewash may lead to problems in mismatched curves (crossover) due to uneven temperature, and streaking due to uneven development. It is only going to reveal itself when you scan or print the negatives." PE</p>

    <p>Second message, November 2012: "Someone pointed this out to me. I have been unclear here.<br /> An improper prewet may lead to streaks and crossover, but a properly done prewet that evenly swells and tempers the film will not hurt, but rather it will help film. It leads to more even development and it reduces the chance of airbells (airbubbles or pinholes). However, it does dilute the developer more than a process done without a prewet." PE</p>

    <p>Back to Tim Parkin on May 21 within this thread: "I'm sure if your film is absolutely dry and the developer hits quickly there shouldn't be any issues. In reality you carry a big risk hoping for this which is ameliorated by pre-wetting."</p>

    <p>For me, it now looks like the Jobo process is FAR from perfect. And that it has been/will be a question of weighing a big risk (the one mentioned by Tim) against a smaller risk (the one mentioned by Rob). The negs I have scanned do look much better now. So whatever was being done at first following Jobo instructions strictly, it has been improved now by pre-washing, against Jobo instructions. The "mismatched curves" mentioned in the apug post or the "upset of the diffusion rates" mentioned by Rob don't seem to be as relevant (if they exist) as the impossible streaks I had when I did not pre-wash. Of course, I am saying all this comparing my negs then to my negs now. This is what has worked for me.</p>

    <p> </p>

  5. <p>Rob: Yes, I wrote about that on May 06. But Jobo seems to be wrong. Tim provides a sensible explanation. Better to wet everything beforehand evenly and to moderate the initial action of the developer. Also: "More importantly, if you have any moisture in the film already from any source, it negates any unevenness." I found that the expert drum's lid, for example, takes some time to dry in its inside. Also, if you've used the processor that day or the day before, the tube through which the tank receives the chemicals holds some water from the washing of the last batch.</p>
  6. <p>Problem is apparently solved! Thanks to all. To definitely confirm this I will have to have some pro-scans made, but the home-scans don't show any streaks as before. To anyone else out there developing C-41 in a Jobo Expert Drum and a Jobo processor here is my advice: Pre-wash!</p>
  7. <p>Chemistry has traditionally been cheaper. I can't change Kodak's price for Portra so there's no reason to whine over that. But if I can get my way round saving unnecessary spending on processing (the only reason I do it myself, by the way, apart from quality control) why wouldn't I try?<br>

    The 1-litre kit for 20 bucks seems a solution for people who don't develop much film, whatever the format. I develop A LOT of film. There's no economy of scale possible with this option. Compare it to the 25 gallon developer for only 228 bucks. One is unbelievably more expensive than the other. Here, Dave Luttmann's question becomes relevant: Can you develop in standard tanks with that developer? I guess yes?<br>

    I will pose a new question: Are there any photonet users doing the c-41 process at home? If you live in the US or Europe, how much do you pay for the chemicals involved?<br /><br /></p>

     

  8. <p>Ok. Thanks for the replies. Craig: 20 bucks for the 1 litre kit seems not that bad for 12 rolls of a press photographer on the run (though I wonder: are there any press photographers doing film nowadays? leave documentary photographers with no urgencies out of that question.)<br>

    But if, as is my case, you need to develop 8x10 sheet film it becomes rather expensive. It would be almost 4 bucks per photograph (developed in an expert drum, using 900ml of solution for 5 sheets). The price of color film is around U$S 15 a sheet. Four extra bucks to have it developed at home by yourself seems a bit too much...</p>

  9. <p>Don't have a clue, Dave. I'm the one asking. I use a Jobo Processor with tanks (roll film) and drums (sheet film). That kit is just something I found at the B&H site. My question is: is there anybody out there (in a place with reasonable or average prices) developing color film at home? If yes, where do you get your chemistry and what's the price? </p>
  10. <p>What's the aproximate cost of C-41 chemistry in NY? Meaning:<br>

    1) Ready to use developer, 1 litre<br>

    2) Bleach, 1 litre<br>

    3) Fixer, 1 litre<br>

    4) Stabilizer, 90ml stock solution to make 10 litres.</p>

    <p>I live in South America, in a place where film photography, especially colour film photography has become a niche-niche-niche market. Competition between distributors doesn't exist, local production of photo chemicals don't even think about it, imports (of whatever kind) are taxed ridiculously high, and the reins photochemistry are held by a long chain of shadowy, unproductive, photo-indifferent intermediaries. With all those ingredients thrown into a pestilent mix, imagine what could happen to the prices: in recent years they have skyrocketed to insane levels. So I'd like to know how much they charge for these items in a relatively "normal" economic and photographic environment, where film photography is weaker but still reasonably healthy. I don't mind if someone gives me gallon figures, I can make the conversion. <br>

    <br />In B&H I find this kit: <a href="http://www.bhphotovideo.com/c/product/27587-REG/Kodak_8414393_Flexicolor_C_41_Developer_Replenisher.html">link</a>. Apparently, it is to make 25 gallons of working solution. Meaning? 25 gallons of developer and the respective necessary quantities for the rest of the steps?? That's quite a lot. </p>

     

  11. <p>Thanks a lot, guys!<br /> <br />Brian, that's exactly the kind of effect I suffer, but in my case way more subtle since I started going obsessive in each possible step where things could go wrong. I am not sure about the stabilizer as a cause. In my case, I hang from one corner, and I have just verified that the streaks direction is not related to the way the film is positioned when drying, sometimes it's exactly the opposite... Looking at the skies, my streaks are mostly top to bottom of the image, same as yours, which is the direction of the rotation of the tank. Do you use a 3010 drum for your 4x5's? In that case, the film in the tank is positioned vertically, the same as my 8x10's in the 3005 drum. I tend to think the cause lies in development, as Tim suggests.</p>

    <p>Tim, do you think, then, that the initial reaction of the developer is inhibited by having films wet upfront? Does the resultant "delay" make development more uniform? Could be. I wonder why Jobo does not suggest doing this, as they do for black and white (if you look at the link in my reply to Charles you can see that Jobo only suggests <strong><em>pre-warming</em></strong>) Do you have any intuitive explanation for what goes on, that is what makes developing more uniform? I'll try pre-washing in any case and see if there are differences.<br /> <br />Brian, I think Tim's p.s. is spot on. Try drying the film vertically to see if the streaks change. And thanks a lot for sharing your pic, I cannot explain how relieved I was to see those painful streaks: I've been going literally nuts for weeks! Still don't know if the solution is imminent, but at least I know someone has been having the same problems...</p>

    <p> </p>

  12. <p>Steve: I was unable to understand it myself. The streaks on the negs are really subtle, almost invisible with or without loupe. The thing is, the scan does pick them up (and you can't see them at first, but you can when you darken and contrast the image via photoshop). The prints, however, eventually show them even when I am doing a normal print, not an exaggerated & saturated one. I only use extreme photoshop effects for detective purposes. But I print as close as the original, or my memory of the original, in natural tones. And the streaks re-surface. If I were taking pics with a 35mm camera, or with a handheld medium format rangefinder perhaps I wouldn't bother about this subtlety. But these being prints made from 8x10 negs, the imperfection really detracts from (if it does not plainly ruin) them.<br /> Charles: Jobo requires pre-wash only for black & white process. For c41 it requires only to "pre-warm" the tank or drum during 5 minutes, that is, to attach it to the processor and let it bathe and roll (empty) at the required temperature (38ºC). <a href="http://www.jobo.com/jobo_service_analog/us_analog/instructions/instructions_process_c-41.htm">see link</a>. But in some posts I have read at photo.net forums and elsewhere, some people recommend pre-washing for c41. Others are against. Can anyone comment on this?<br /> "If the problem is being caused by slow drain/fill times the density difference would be greater and not cause a streak unless the tank was stationary during the drain/fill and the streak would be consistent with the position of the tank and the negatives at the time of the drain fill."<br /> Sounds reasonable. A minor observation: the drum actually IS stationary while it is draining, whereas it rotates during the fill (when it reconnects to the rotating gear). The streaks have an inclination, and the tank during drain has an inclination.</p>
  13. <p>I've been developing 8x10 Kodak Portra 160 color negs with a 3005 expert drum, in a Jobo cpp2 processor with Lift. The processor is leveled (so that the <em>drum</em> is leveled with precision), the easyrollers are rolling super smoothly on the correct position (extension arms outward), the motor is rotating fine (I have replaced gears and done the recommended lubrication), the temperature control is working perfectly, as well as the pump, etc, etc, etc. I usually develop five 8x10 negs at a time, and for that I use 900 ml of chemistry, in each step of the c41process: Developer, Bleach, Wash, Fix, Wash, Stabilizer.<br>

    For some time I've been having inconsistent development, that is not apparent to the eye when you look at the beautiful 8x10 negs (they look absolutely fantastic!) But when I scan them, streaking appears, visible especially in the areas of sky. The streaking is not an unwelcome addition of the scanner: I do "work scans" at home, but also have had pro scans done for me, and the streaks for a single neg scanned both ways have been exactly the same, so they exist in the negative, regardless where the eye perceives them or not. <br>

    I can only think of two causes for my problem at this point: 1) The anti-vellum which is somehow disturbing the first step of the process, 2) The unavoidable time required between step 1 and step 2 of the process, <em>AT LEAST</em> 30 seconds during which the tank is emptied of the developer, and refilled with bleach.<br>

    1) Can I possibly improve this by pre-washing my film, as I've seen suggested in some posts? if that's the case am I losing/risking anything by doing it?<br>

    2) Intuitively I find 30 seconds quite a longish time, relatively speaking, considering that developing time for the c41 process is only 3:15. My worry is what's going on in the emulsions during those extra 30 seconds before the bleach kicks in. But if this is a problem, how can I do otherwise? It's the time it takes to drain the tank and fill it up again, sometimes 30 secs isn't even enough, and I don't want to extra-contaminate my bleach bath by ending the draining beforehand...<br>

    Suggestions? Thoughts?</p>

  14. <p>Thanks, I didn't know about the roller base 1509. Looks like a very good option. But are they using an old photo at Freestyle, or does that part really come with the old white rollers?? Perhaps I'll give them a call and find out. Another question: I own a second hand cpp2 with a lift. This lift came with the original white rollers and no extension arms. Can I remove the white rollers, and place the easy glide black rollers with extension arms on the same block? Meaning: are the new rollers w/arms compatible with the old block?</p>
  15. <p>The good news for us Jobo users is that there is a new processor, the cpp 3. I own a cpp 2 and for now I'm not planning on upgrading. But I thought spare parts would be more readily available. What I'm looking for is item #95183. See the pic attached, taken from the Jobo website.<br>

    <a href="http://www.catlabs.info/product/jobo-92167-easy-running-rollers-black-and-extension-arms-new">Catlabs</a> has item #92167 (which are the rollers themselves) but I also need the block where they are to be inserted.<br>

    <br />Any ideas besides Catlabs? I can't seem to find anything in the web...</p>

    <p><img 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

  16. <p>Thanks Marc<br>

    8x10 Kodak film has finally arrived in B&H and Adorama. Don't really know how much of it and for how long, but I am now pretty much covered for some months. The last few weeks have been quite a roller coaster in terms of work projection: almost like trying to make a sensible business plan in an unstable "emerging" economy...</p>

  17.  

    <p>Of course she did not have the slightest clue, which is to be (exasperatingly) expected from these ridiculous customer services: she did not know about the fate of Portra 8x10, nor did she probably know about any Kodak film, period. Worse of all, she did not know who on earth to ask to simply forward a straight answer to my non too complicated query. What I did get from Dessiree, at least and at last, was an internal two digit number from Kodak, that I could have spent my life like a pinball bouncing between dumb answering machines to find out by myself. (I had tried this improbable task the day before and it was like entering a kafkaesque maze.) <br>

    So in the end I was able to talk to "Rod". He told me that the film is still being manufactured, according to the Kodak February bulletin which had just been out. And that it looked likely that there would continue be 8 x10 Portra 160 for some time. Good news! He could not, or did not want to, find out, whether there had been distribution problems, and offered an explanation we had thought of: with the situation at Kodak "there might have been a buying panic". </p>

  18. <p>When I asked her whether there had been an official Kodak announcement about this, and that I found bizarre that a film that had been released such a short time ago (to replace VC and NC) should be discontinued so abruptly, she replied: "Let me double check."</p>
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